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ORCIDChristopher Ré
Person information
- affiliation: Stanford University, Department of Computer Science, USA
- affiliation: University of Wisconsin-Madison, USA
- affiliation: University of Washington, Seattle, Washington, USA
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Books and Theses
- 2011
[b1]Dan Suciu, Dan Olteanu, Christopher Ré, Christoph Koch:
Probabilistic Databases. Synthesis Lectures on Data Management, Morgan & Claypool Publishers 2011, ISBN 978-3-031-00751-4
Journal Articles
- 2024
- [j76]Khaled Saab, Siyi Tang, Mohamed Taha, Christopher Lee-Messer, Christopher Ré, Daniel L. Rubin:
Towards trustworthy seizure onset detection using workflow notes. npj Digit. Medicine 7(1) (2024) - 2023
- [j75]Armin W. Thomas
, Christopher Ré, Russell A. Poldrack:
Benchmarking explanation methods for mental state decoding with deep learning models. NeuroImage 273: 120109 (2023) - [j74]Simran Arora, Brandon Yang, Sabri Eyuboglu, Avanika Narayan, Andrew Hojel, Immanuel Trummer, Christopher Ré:
Language Models Enable Simple Systems for Generating Structured Views of Heterogeneous Data Lakes. Proc. VLDB Endow. 17(2): 92-105 (2023) - [j73]Kevin Kiningham, Philip Alexander Levis, Christopher Ré:
GRIP: A Graph Neural Network Accelerator Architecture. IEEE Trans. Computers 72(4): 914-925 (2023) - 2022
- [j72]Piero Molino, Christopher Ré:
Declarative machine learning systems. Commun. ACM 65(1): 42-49 (2022) - [j71]Daniel Abadi, Anastasia Ailamaki, David G. Andersen, Peter Bailis, Magdalena Balazinska, Philip A. Bernstein, Peter A. Boncz, Surajit Chaudhuri, Alvin Cheung, AnHai Doan, Luna Dong, Michael J. Franklin, Juliana Freire, Alon Y. Halevy, Joseph M. Hellerstein, Stratos Idreos, Donald Kossmann, Tim Kraska, Sailesh Krishnamurthy, Volker Markl, Sergey Melnik, Tova Milo, C. Mohan, Thomas Neumann, Beng Chin Ooi, Fatma Ozcan, Jignesh M. Patel, Andrew Pavlo, Raluca A. Popa, Raghu Ramakrishnan, Christopher Ré, Michael Stonebraker, Dan Suciu:
The Seattle report on database research. Commun. ACM 65(8): 72-79 (2022) - [j70]Ines Chami, Sami Abu-El-Haija, Bryan Perozzi, Christopher Ré, Kevin Murphy:
Machine Learning on Graphs: A Model and Comprehensive Taxonomy. J. Mach. Learn. Res. 23: 89:1-89:64 (2022) - [j69]Avanika Narayan, Ines Chami, Laurel J. Orr, Christopher Ré:
Can Foundation Models Wrangle Your Data? Proc. VLDB Endow. 16(4): 738-746 (2022) - 2021
- [j68]Tim Kraska, Umar Farooq Minhas, Thomas Neumann, Olga Papaemmanouil, Jignesh M. Patel, Christopher Ré, Michael Stonebraker:
ML-In-Databases: Assessment and Prognosis. IEEE Data Eng. Bull. 44(1): 3-10 (2021) - [j67]Rebecca Sawyer Lee, Jared A. Dunnmon, Ann He, Siyi Tang, Christopher Ré, Daniel L. Rubin:
Comparison of segmentation-free and segmentation-dependent computer-aided diagnosis of breast masses on a public mammography dataset. J. Biomed. Informatics 113: 103656 (2021) - [j66]Sahaana Suri, Ihab F. Ilyas, Christopher Ré, Theodoros Rekatsinas:
Ember: No-Code Context Enrichment via Similarity-Based Keyless Joins. Proc. VLDB Endow. 15(3): 699-712 (2021) - [j65]Piero Molino, Christopher Ré:
Declarative Machine Learning Systems: The future of machine learning will depend on it being in the hands of the rest of us. ACM Queue 19(3): 46-76 (2021) - 2020
- [j64]Emily K. Mallory, Matthieu de Rochemonteix, Alexander Ratner, Ambika Acharya, Christopher Ré, Roselie A. Bright, Russ B. Altman:
Extracting chemical reactions from text using Snorkel. BMC Bioinform. 21(1): 217 (2020) - [j63]Kun-Hsing Yu, Feiran Wang, Gerald J. Berry, Christopher Ré, Russ B. Altman, Michael Snyder, Isaac S. Kohane:
Classifying non-small cell lung cancer types and transcriptomic subtypes using convolutional neural networks. J. Am. Medical Informatics Assoc. 27(5): 757-769 (2020) - [j62]Khaled Saab, Jared Dunnmon, Christopher Ré, Daniel L. Rubin, Christopher Lee-Messer:
Weak supervision as an efficient approach for automated seizure detection in electroencephalography. npj Digit. Medicine 3 (2020) - [j61]Jared A. Dunnmon, Alexander J. Ratner, Khaled Saab, Nishith Khandwala, Matthew Markert, Hersh Sagreiya, Roger E. Goldman, Christopher Lee-Messer, Matthew P. Lungren, Daniel L. Rubin, Christopher Ré:
Cross-Modal Data Programming Enables Rapid Medical Machine Learning. Patterns 1(2): 100019 (2020) - [j60]Sahaana Suri, Abishek Sethi, Girija Narlikar, Neslihan Bulut, Raghuveer Chanda, Sugato Basu, Pradyumna Narayana, Peter Bailis, Christopher Ré, Yemao Zeng:
Leveraging Organizational Resources to Adapt Models to New Data Modalities. Proc. VLDB Endow. 13(12): 3396-3410 (2020) - [j59]Luke Hsiao, Sen Wu, Nicholas Chiang, Christopher Ré, Philip Alexander Levis:
Creating Hardware Component Knowledge Bases with Training Data Generation and Multi-task Learning. ACM Trans. Embed. Comput. Syst. 19(6): 42:1-42:26 (2020) - [j58]Alexander Ratner, Stephen H. Bach, Henry R. Ehrenberg, Jason A. Fries, Sen Wu, Christopher Ré:
Snorkel: rapid training data creation with weak supervision. VLDB J. 29(2-3): 709-730 (2020) - 2019
- [j57]Alison Callahan, Jason A. Fries, Christopher Ré, James I Huddleston III, Nicholas J. Giori, Scott L. Delp, Nigam H. Shah:
Medical device surveillance with electronic health records. npj Digit. Medicine 2 (2019) - [j56]Daniel Abadi, Anastasia Ailamaki, David G. Andersen, Peter Bailis, Magdalena Balazinska, Philip A. Bernstein, Peter A. Boncz, Surajit Chaudhuri, Alvin Cheung, AnHai Doan, Luna Dong, Michael J. Franklin, Juliana Freire, Alon Y. Halevy, Joseph M. Hellerstein, Stratos Idreos, Donald Kossmann, Tim Kraska, Sailesh Krishnamurthy, Volker Markl, Sergey Melnik, Tova Milo, C. Mohan, Thomas Neumann, Beng Chin Ooi, Fatma Ozcan, Jignesh M. Patel, Andrew Pavlo, Raluca A. Popa, Raghu Ramakrishnan, Christopher Ré, Michael Stonebraker, Dan Suciu:
The Seattle Report on Database Research. SIGMOD Rec. 48(4): 44-53 (2019) - [j55]Cody Coleman, Daniel Kang, Deepak Narayanan, Luigi Nardi, Tian Zhao, Jian Zhang, Peter Bailis, Kunle Olukotun, Christopher Ré, Matei Zaharia:
Analysis of DAWNBench, a Time-to-Accuracy Machine Learning Performance Benchmark. ACM SIGOPS Oper. Syst. Rev. 53(1): 14-25 (2019) - 2018
- [j54]Alexander Ratner, Christopher Ré, Peter Bailis:
Research for practice: knowledge base construction in the machine-learning era. Commun. ACM 61(11): 95-97 (2018) - [j53]Hung Q. Ngo, Ely Porat, Christopher Ré, Atri Rudra:
Worst-case Optimal Join Algorithms. J. ACM 65(3): 16:1-16:40 (2018) - [j52]Manas Joglekar, Christopher Ré:
It's All a Matter of Degree - Using Degree Information to Optimize Multiway Joins. Theory Comput. Syst. 62(4): 810-853 (2018) - [j51]Paroma Varma, Christopher Ré:
Snuba: Automating Weak Supervision to Label Training Data. Proc. VLDB Endow. 12(3): 223-236 (2018) - [j50]Alexander Ratner, Christopher Ré:
Knowledge Base Construction in the Machine-learning Era. ACM Queue 16(3): 50 (2018) - [j49]Benny Kimelfeld, Christopher Ré:
A Relational Framework for Classifier Engineering. SIGMOD Rec. 47(1): 6-13 (2018) - [j48]Benny Kimelfeld, Christopher Ré:
A Relational Framework for Classifier Engineering. ACM Trans. Database Syst. 43(3): 11:1-11:36 (2018) - 2017
- [j47]Ce Zhang, Christopher Ré, Michael J. Cafarella, Jaeho Shin, Feiran Wang, Sen Wu:
DeepDive: declarative knowledge base construction. Commun. ACM 60(5): 93-102 (2017) - [j46]Jiyan Yang, Yin-Lam Chow, Christopher Ré, Michael W. Mahoney:
Weighted SGD for $\ell_p$ Regression with Randomized Preconditioning. J. Mach. Learn. Res. 18: 211:1-211:43 (2017) - [j45]Theodoros Rekatsinas, Xu Chu, Ihab F. Ilyas, Christopher Ré:
HoloClean: Holistic Data Repairs with Probabilistic Inference. Proc. VLDB Endow. 10(11): 1190-1201 (2017) - [j44]Christopher R. Aberger, Andrew Lamb, Kunle Olukotun, Christopher Ré:
Mind the Gap: Bridging Multi-Domain Query Workloads with EmptyHeaded. Proc. VLDB Endow. 10(12): 1849-1852 (2017) - [j43]Alexander Ratner, Stephen H. Bach, Henry R. Ehrenberg, Jason Alan Fries, Sen Wu, Christopher Ré:
Snorkel: Rapid Training Data Creation with Weak Supervision. Proc. VLDB Endow. 11(3): 269-282 (2017) - [j42]Foto N. Afrati, Jan Hidders, Christopher Ré, Jacek Sroka, Jeffrey D. Ullman:
Report from the third workshop on Algorithms and Systems for MapReduce and Beyond (BeyondMR'16). SIGMOD Rec. 46(2): 43-48 (2017) - [j41]Christopher R. Aberger, Andrew Lamb, Susan Tu, Andres Nötzli, Kunle Olukotun, Christopher Ré:
EmptyHeaded: A Relational Engine for Graph Processing. ACM Trans. Database Syst. 42(4): 20:1-20:44 (2017) - [j40]Christopher De Sa, Alexander Ratner, Christopher Ré, Jaeho Shin, Feiran Wang, Sen Wu, Ce Zhang:
Incremental knowledge base construction using DeepDive. VLDB J. 26(1): 81-105 (2017) - 2016
- [j39]Emily K. Mallory, Ce Zhang, Christopher Ré, Russ B. Altman:
Large-scale extraction of gene interactions from full-text literature using DeepDive. Bioinform. 32(1): 106-113 (2016) - [j38]Daniel Abadi, Rakesh Agrawal, Anastasia Ailamaki, Magdalena Balazinska, Philip A. Bernstein, Michael J. Carey, Surajit Chaudhuri, Jeffrey Dean, AnHai Doan, Michael J. Franklin, Johannes Gehrke, Laura M. Haas, Alon Y. Halevy, Joseph M. Hellerstein, Yannis E. Ioannidis, H. V. Jagadish, Donald Kossmann, Samuel Madden, Sharad Mehrotra, Tova Milo, Jeffrey F. Naughton, Raghu Ramakrishnan, Volker Markl, Christopher Olston, Beng Chin Ooi, Christopher Ré, Dan Suciu, Michael Stonebraker, Todd Walter, Jennifer Widom:
The Beckman report on database research. Commun. ACM 59(2): 92-99 (2016) - [j37]Christopher De Sa, Alexander Ratner, Christopher Ré, Jaeho Shin, Feiran Wang, Sen Wu, Ce Zhang:
DeepDive: Declarative Knowledge Base Construction. SIGMOD Rec. 45(1): 60-67 (2016) - [j36]Ce Zhang, Arun Kumar, Christopher Ré:
Materialization Optimizations for Feature Selection Workloads. ACM Trans. Database Syst. 41(1): 2:1-2:32 (2016) - [j35]Mahmoud Abo Khamis, Hung Q. Ngo, Christopher Ré, Atri Rudra:
Joins via Geometric Resolutions: Worst Case and Beyond. ACM Trans. Database Syst. 41(4): 22:1-22:45 (2016) - 2015
- [j34]Mohamed M. Sabry, Mingyu Gao, Gage Hills, Chi-Shuen Lee, Greg Pitner, Max M. Shulaker, Tony F. Wu, Mehdi Asheghi, Jeffrey Bokor, Franz Franchetti, Kenneth E. Goodson, Christos Kozyrakis, Igor L. Markov, Kunle Olukotun, Larry T. Pileggi, Eric Pop, Jan M. Rabaey, Christopher Ré, H.-S. Philip Wong, Subhasish Mitra:
Energy-Efficient Abundant-Data Computing: The N3XT 1, 000x. Computer 48(12): 24-33 (2015) - [j33]Joy P. Ku, Jennifer L. Hicks, Trevor Hastie, Jure Leskovec, Christopher Ré, Scott L. Delp:
The mobilize center: an NIH big data to knowledge center to advance human movement research and improve mobility. J. Am. Medical Informatics Assoc. 22(6): 1120-1125 (2015) - [j32]Ji Liu, Stephen J. Wright, Christopher Ré, Victor Bittorf, Srikrishna Sridhar:
An asynchronous parallel stochastic coordinate descent algorithm. J. Mach. Learn. Res. 16: 285-322 (2015) - [j31]Jaeho Shin, Sen Wu, Feiran Wang, Christopher De Sa, Ce Zhang, Christopher Ré:
Incremental Knowledge Base Construction Using DeepDive. Proc. VLDB Endow. 8(11): 1310-1321 (2015) - [j30]Jaeho Shin, Christopher Ré, Michael J. Cafarella:
Mindtagger: A Demonstration of Data Labeling in Knowledge Base Construction. Proc. VLDB Endow. 8(12): 1920-1923 (2015) - 2014
- [j29]Christopher Ré, Amir Abbas Sadeghian, Zifei Shan, Jaeho Shin, Feiran Wang, Sen Wu, Ce Zhang:
Feature Engineering for Knowledge Base Construction. IEEE Data Eng. Bull. 37(3): 26-40 (2014) - [j28]Julie Letchner, Magdalena Balazinska, Christopher Ré, Matthai Philipose:
Approximation trade-offs in a Markovian stream warehouse: An empirical study. Inf. Syst. 39: 290-304 (2014) - [j27]Benny Kimelfeld, Christopher Ré:
Transducing Markov sequences. J. ACM 61(5): 32:1-32:48 (2014) - [j26]Ce Zhang, Christopher Ré:
DimmWitted: A Study of Main-Memory Statistical Analytics. Proc. VLDB Endow. 7(12): 1283-1294 (2014) - [j25]Daniel J. Abadi, Rakesh Agrawal, Anastasia Ailamaki, Magdalena Balazinska, Philip A. Bernstein, Michael J. Carey, Surajit Chaudhuri, Jeffrey Dean, AnHai Doan, Michael J. Franklin, Johannes Gehrke, Laura M. Haas, Alon Y. Halevy, Joseph M. Hellerstein, Yannis E. Ioannidis, H. V. Jagadish, Donald Kossmann, Samuel Madden, Sharad Mehrotra, Tova Milo, Jeffrey F. Naughton, Raghu Ramakrishnan, Volker Markl, Christopher Olston, Beng Chin Ooi, Christopher Ré, Dan Suciu, Michael Stonebraker, Todd Walter, Jennifer Widom:
The Beckman Report on Database Research. SIGMOD Rec. 43(3): 61-70 (2014) - 2013
- [j24]Arun Kumar, Feng Niu, Christopher Ré:
Hazy: making it easier to build and maintain big-data analytics. Commun. ACM 56(3): 40-49 (2013) - [j23]Benjamin Recht, Christopher Ré:
Parallel stochastic gradient algorithms for large-scale matrix completion. Math. Program. Comput. 5(2): 201-226 (2013) - [j22]Pradap Konda, Arun Kumar, Christopher Ré, Vaishnavi Sashikanth:
Feature Selection in Enterprise Analytics: A Demonstration using an R-based Data Analytics System. Proc. VLDB Endow. 6(12): 1306-1309 (2013) - [j21]Dolan Antenucci, Erdong Li, Shaobo Liu, Bochun Zhang, Michael J. Cafarella, Christopher Ré:
Ringtail: A Generalized Nowcasting System. Proc. VLDB Endow. 6(12): 1358-1361 (2013) - [j20]Arun Kumar, Feng Niu, Christopher Ré:
Hazy: Making it Easier to Build and Maintain Big-data Analytics. ACM Queue 11(1): 30 (2013) - [j19]Hung Q. Ngo, Christopher Ré, Atri Rudra:
Skew strikes back: new developments in the theory of join algorithms. SIGMOD Rec. 42(4): 5-16 (2013) - [j18]Lei Chen, Ihab F. Ilyas, Christopher Ré, Xiaofang Zhou:
Probabilistic Web Data Management. World Wide Web 16(3): 271-272 (2013) - 2012
- [j17]Feng Niu, Ce Zhang, Christopher Ré, Jude W. Shavlik:
Elementary: Large-Scale Knowledge-Base Construction via Machine Learning and Statistical Inference. Int. J. Semantic Web Inf. Syst. 8(3): 42-73 (2012) - [j16]Joseph M. Hellerstein, Christopher Ré, Florian Schoppmann, Daisy Zhe Wang, Eugene Fratkin, Aleksander Gorajek, Kee Siong Ng, Caleb Welton, Xixuan Feng, Kun Li, Arun Kumar:
The MADlib Analytics Library or MAD Skills, the SQL. Proc. VLDB Endow. 5(12): 1700-1711 (2012) - [j15]Christopher Ré, Dan Suciu:
Understanding cardinality estimation using entropy maximization. ACM Trans. Database Syst. 37(1): 6:1-6:31 (2012) - 2011
- [j14]Nilesh N. Dalvi, Christopher Ré, Dan Suciu:
Queries and materialized views on probabilistic databases. J. Comput. Syst. Sci. 77(3): 473-490 (2011) - [j13]Mehmet Levent Koc, Christopher Ré:
Incrementally maintaining classification using an RDBMS. Proc. VLDB Endow. 4(5): 302-313 (2011) - [j12]Feng Niu, Christopher Ré, AnHai Doan, Jude W. Shavlik:
Tuffy: Scaling up Statistical Inference in Markov Logic Networks using an RDBMS. Proc. VLDB Endow. 4(6): 373-384 (2011) - [j11]Eaman Jahani, Michael J. Cafarella, Christopher Ré:
Automatic Optimization for MapReduce Programs. Proc. VLDB Endow. 4(6): 385-396 (2011) - [j10]Arun Kumar, Christopher Ré:
Probabilistic Management of OCR Data using an RDBMS. Proc. VLDB Endow. 5(4): 322-333 (2011) - 2009
- [j9]Nilesh N. Dalvi, Christopher Ré, Dan Suciu:
Probabilistic databases: diamonds in the dirt. Commun. ACM 52(7): 86-94 (2009) - [j8]Julie Letchner, Christopher Ré, Magdalena Balazinska, Matthai Philipose:
Lahar Demonstration: Warehousing Markovian Streams. Proc. VLDB Endow. 2(2): 1610-1613 (2009) - [j7]Stefan Manegold, Ioana Manolescu, Loredana Afanasiev, Jianlin Feng, Gang Gou, Marios Hadjieleftheriou, Stavros Harizopoulos, Panos Kalnis, Konstantinos Karanasos, Dominique Laurent, Mihai Lupu, Nicola Onose, Christopher Ré, Virginie Sans, Pierre Senellart, Tina Wu, Dennis E. Shasha:
Repeatability & workability evaluation of SIGMOD 2009. SIGMOD Rec. 38(3): 40-43 (2009) - [j6]Christopher Ré, Dan Suciu:
The trichotomy of HAVING queries on a probabilistic database. VLDB J. 18(5): 1091-1116 (2009) - 2008
- [j5]Julie Letchner, Christopher Ré, Magdalena Balazinska, Matthai Philipose:
Challenges for Event Queries over Markovian Streams. IEEE Internet Comput. 12(6): 30-36 (2008) - [j4]Christopher Ré, Dan Suciu:
Approximate lineage for probabilistic databases. Proc. VLDB Endow. 1(1): 797-808 (2008) - [j3]Magdalena Balazinska, Christopher Ré, Dan Suciu:
Systems aspects of probabilistic data management. Proc. VLDB Endow. 1(2): 1520-1521 (2008) - 2007
- [j2]Eytan Adar, Christopher Ré:
Managing Uncertainty in Social Networks. IEEE Data Eng. Bull. 30(2): 15-22 (2007) - 2006
- [j1]Christopher Ré, Nilesh N. Dalvi, Dan Suciu:
Query Evaluation on Probabilistic Databases. IEEE Data Eng. Bull. 29(1): 25-31 (2006)
Conference and Workshop Papers
- 2024
- [c206]Vishnu Sarukkai, Linden Li, Arden Ma, Christopher Ré, Kayvon Fatahalian:
Collage Diffusion. WACV 2024: 4196-4205 - 2023
- [c205]Lingjiao Chen, Zhihua Jin, Sabri Eyuboglu, Huamin Qu, Christopher Ré, Matei Zaharia, James Zou:
HAPI Explorer: Comprehension, Discovery, and Explanation on History of ML APIs. AAAI 2023: 16416-16418 - [c204]Moses Charikar, Beidi Chen, Christopher Ré, Erik Waingarten:
Fast Algorithms for a New Relaxation of Optimal Transport. COLT 2023: 4831-4862 - [c203]Simran Arora, Avanika Narayan, Mayee F. Chen, Laurel J. Orr, Neel Guha, Kush Bhatia, Ines Chami, Christopher Ré:
Ask Me Anything: A simple strategy for prompting language models. ICLR 2023 - [c202]Daniel Y. Fu, Tri Dao, Khaled Kamal Saab, Armin W. Thomas, Atri Rudra, Christopher Ré:
Hungry Hungry Hippos: Towards Language Modeling with State Space Models. ICLR 2023 - [c201]Albert Gu, Isys Johnson, Aman Timalsina, Atri Rudra, Christopher Ré:
How to Train your HIPPO: State Space Models with Generalized Orthogonal Basis Projections. ICLR 2023 - [c200]Michael Zhang, Khaled Kamal Saab, Michael Poli, Tri Dao, Karan Goel, Christopher Ré:
Effectively Modeling Time Series with Simple Discrete State Spaces. ICLR 2023 - [c199]Daniel Y. Fu, Elliot L. Epstein, Eric Nguyen, Armin W. Thomas, Michael Zhang, Tri Dao, Atri Rudra, Christopher Ré:
Simple Hardware-Efficient Long Convolutions for Sequence Modeling. ICML 2023: 10373-10391 - [c198]Zichang Liu, Jue Wang, Tri Dao, Tianyi Zhou, Binhang Yuan, Zhao Song, Anshumali Shrivastava, Ce Zhang, Yuandong Tian, Christopher Ré, Beidi Chen:
Deja Vu: Contextual Sparsity for Efficient LLMs at Inference Time. ICML 2023: 22137-22176 - [c197]Michael Poli, Stefano Massaroli, Eric Nguyen, Daniel Y. Fu, Tri Dao, Stephen Baccus, Yoshua Bengio, Stefano Ermon, Christopher Ré:
Hyena Hierarchy: Towards Larger Convolutional Language Models. ICML 2023: 28043-28078 - [c196]Ying Sheng, Lianmin Zheng, Binhang Yuan, Zhuohan Li, Max Ryabinin, Beidi Chen, Percy Liang, Christopher Ré, Ion Stoica, Ce Zhang:
FlexGen: High-Throughput Generative Inference of Large Language Models with a Single GPU. ICML 2023: 31094-31116 - [c195]Jue Wang, Yucheng Lu, Binhang Yuan, Beidi Chen, Percy Liang, Christopher De Sa, Christopher Ré, Ce Zhang:
CocktailSGD: Fine-tuning Foundation Models over 500Mbps Networks. ICML 2023: 36058-36076 - [c194]Kush Bhatia, Avanika Narayan, Christopher De Sa, Christopher Ré:
TART: A plug-and-play Transformer module for task-agnostic reasoning. NeurIPS 2023 - [c193]Mayee F. Chen, Nicholas Roberts, Kush Bhatia, Jue Wang, Ce Zhang, Frederic Sala, Christopher Ré:
Skill-it! A data-driven skills framework for understanding and training language models. NeurIPS 2023 - [c192]Daniel Y. Fu, Simran Arora, Jessica Grogan, Isys Johnson, Evan Sabri Eyuboglu, Armin W. Thomas, Benjamin Spector, Michael Poli, Atri Rudra, Christopher Ré:
Monarch Mixer: A Simple Sub-Quadratic GEMM-Based Architecture. NeurIPS 2023 - [c191]Neel Guha, Mayee F. Chen, Kush Bhatia, Azalia Mirhoseini, Frederic Sala, Christopher Ré:
Embroid: Unsupervised Prediction Smoothing Can Improve Few-Shot Classification. NeurIPS 2023 - [c190]Neel Guha, Julian Nyarko, Daniel E. Ho, Christopher Ré, Adam Chilton, Aditya K, Alex Chohlas-Wood, Austin Peters, Brandon Waldon, Daniel N. Rockmore, Diego Zambrano, Dmitry Talisman, Enam Hoque, Faiz Surani, Frank Fagan, Galit Sarfaty, Gregory M. Dickinson, Haggai Porat, Jason Hegland, Jessica Wu, Joe Nudell, Joel Niklaus, John J. Nay, Jonathan H. Choi, Kevin Tobia, Margaret Hagan, Megan Ma, Michael A. Livermore, Nikon Rasumov-Rahe, Nils Holzenberger, Noam Kolt, Peter Henderson, Sean Rehaag, Sharad Goel, Shang Gao, Spencer Williams, Sunny Gandhi, Tom Zur, Varun Iyer, Zehua Li:
LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Models. NeurIPS 2023 - [c189]Sarah M. Hooper, Mayee F. Chen, Khaled Saab, Kush Bhatia, Curtis P. Langlotz, Christopher Ré:
A case for reframing automated medical image classification as segmentation. NeurIPS 2023 - [c188]Stefano Massaroli, Michael Poli, Daniel Y. Fu, Hermann Kumbong, Rom N. Parnichkun, David W. Romero, Aman Timalsina, Quinn McIntyre, Beidi Chen, Atri Rudra, Ce Zhang, Christopher Ré, Stefano Ermon, Yoshua Bengio:
Laughing Hyena Distillery: Extracting Compact Recurrences From Convolutions. NeurIPS 2023 - [c187]Eric Nguyen, Michael Poli, Marjan Faizi, Armin W. Thomas, Michael Wornow, Callum Birch-Sykes, Stefano Massaroli, Aman Patel, Clayton M. Rabideau, Yoshua Bengio, Stefano Ermon, Christopher Ré, Stephen Baccus:
HyenaDNA: Long-Range Genomic Sequence Modeling at Single Nucleotide Resolution. NeurIPS 2023 - [c186]Zhenyu Zhang, Ying Sheng, Tianyi Zhou, Tianlong Chen, Lianmin Zheng, Ruisi Cai, Zhao Song, Yuandong Tian, Christopher Ré, Clark W. Barrett, Zhangyang Wang, Beidi Chen:
H2O: Heavy-Hitter Oracle for Efficient Generative Inference of Large Language Models. NeurIPS 2023 - 2022
- [c185]Simran Arora, Sen Wu, Enci Liu, Christopher Ré:
Metadata Shaping: A Simple Approach for Knowledge-Enhanced Language Models. ACL (Findings) 2022: 1733-1745 - [c184]Megan Leszczynski, Daniel Y. Fu, Mayee F. Chen, Christopher Ré:
TABi: Type-Aware Bi-Encoders for Open-Domain Entity Retrieval. ACL (Findings) 2022: 2147-2166 - [c183]Laurel J. Orr, Karan Goel, Christopher Ré:
Data Management Opportunities for Foundation Models. CIDR 2022 - [c182]Sabri Eyuboglu, Bojan Karlas, Christopher Ré, Ce Zhang, James Zou:
dcbench: a benchmark for data-centric AI systems. DEEM@SIGMOD 2022: 9:1-9:4 - [c181]Beidi Chen, Tri Dao, Kaizhao Liang, Jiaming Yang, Zhao Song, Atri Rudra, Christopher Ré:
Pixelated Butterfly: Simple and Efficient Sparse training for Neural Network Models. ICLR 2022 - [c180]Sabri Eyuboglu, Maya Varma, Khaled Kamal Saab, Jean-Benoit Delbrouck, Christopher Lee-Messer, Jared Dunnmon, James Zou, Christopher Ré:
Domino: Discovering Systematic Errors with Cross-Modal Embeddings. ICLR 2022 - [c179]Albert Gu, Karan Goel, Christopher Ré:
Efficiently Modeling Long Sequences with Structured State Spaces. ICLR 2022 - [c178]Mayee F. Chen, Daniel Y. Fu, Avanika Narayan, Michael Zhang, Zhao Song, Kayvon Fatahalian, Christopher Ré:
Perfectly Balanced: Improving Transfer and Robustness of Supervised Contrastive Learning. ICML 2022: 3090-3122 - [c177]Tri Dao, Beidi Chen, Nimit Sharad Sohoni, Arjun D. Desai, Michael Poli, Jessica Grogan, Alexander Liu, Aniruddh Rao, Atri Rudra, Christopher Ré:
Monarch: Expressive Structured Matrices for Efficient and Accurate Training. ICML 2022: 4690-4721 - [c176]Karan Goel, Albert Gu, Chris Donahue, Christopher Ré:
It's Raw! Audio Generation with State-Space Models. ICML 2022: 7616-7633 - [c175]Michael Zhang, Nimit Sharad Sohoni, Hongyang R. Zhang, Chelsea Finn, Christopher Ré:
Correct-N-Contrast: a Contrastive Approach for Improving Robustness to Spurious Correlations. ICML 2022: 26484-26516 - [c174]Arjun D. Desai, Beliz Gunel, Batu M. Ozturkler, Harris Beg, Shreyas Vasanawala, Brian A. Hargreaves, Christopher Ré, John M. Pauly, Akshay S. Chaudhari:
VORTEX: Physics-Driven Data Augmentations Using Consistency Training for Robust Accelerated MRI Reconstruction. MIDL 2022: 325-352 - [c173]Khaled Saab, Sarah M. Hooper, Mayee F. Chen, Michael Zhang, Daniel L. Rubin, Christopher Ré:
Reducing Reliance on Spurious Features in Medical Image Classification with Spatial Specificity. MLHC 2022: 760-784 - [c172]Lingjiao Chen, Zhihua Jin, Sabri Eyuboglu, Christopher Ré, Matei Zaharia, James Y. Zou:
HAPI: A Large-scale Longitudinal Dataset of Commercial ML API Predictions. NeurIPS 2022 - [c171]Tri Dao, Daniel Y. Fu, Stefano Ermon, Atri Rudra, Christopher Ré:
FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness. NeurIPS 2022 - [c170]Albert Gu, Karan Goel, Ankit Gupta, Christopher Ré:
On the Parameterization and Initialization of Diagonal State Space Models. NeurIPS 2022 - [c169]Eric Nguyen, Karan Goel, Albert Gu, Gordon W. Downs, Preey Shah, Tri Dao, Stephen Baccus, Christopher Ré:
S4ND: Modeling Images and Videos as Multidimensional Signals with State Spaces. NeurIPS 2022 - [c168]Michael Poli, Stefano Massaroli, Federico Berto, Jinkyoo Park, Tri Dao, Christopher Ré, Stefano Ermon:
Transform Once: Efficient Operator Learning in Frequency Domain. NeurIPS 2022 - [c167]Armin W. Thomas, Christopher Ré, Russell A. Poldrack:
Self-Supervised Learning of Brain Dynamics from Broad Neuroimaging Data. NeurIPS 2022 - [c166]Jue Wang, Binhang Yuan, Luka Rimanic, Yongjun He, Tri Dao, Beidi Chen, Christopher Ré, Ce Zhang:
Fine-tuning Language Models over Slow Networks using Activation Quantization with Guarantees. NeurIPS 2022 - [c165]Binhang Yuan, Yongjun He, Jared Davis, Tianyi Zhang, Tri Dao, Beidi Chen, Percy Liang, Christopher Ré, Ce Zhang:
Decentralized Training of Foundation Models in Heterogeneous Environments. NeurIPS 2022 - [c164]Michael Zhang, Christopher Ré:
Contrastive Adapters for Foundation Model Group Robustness. NeurIPS 2022 - [c163]Christopher Ré:
Is Data Management the Beating Heart of AI Systems? SIGMOD Conference 2022: 3 - [c162]Anastasia Ailamaki, Leilani Battle, Johannes Gehrke, Masaru Kitsuregawa, David Maier, Christopher Ré, Meihui Zhang, Magdalena Balazinska:
The DB Community vis-à-vis Environmental, Health, and Societal Grand Challenges: Innovation Engine, Plumber, or Bystander? SIGMOD Conference 2022: 2498-2500 - [c161]Mayee F. Chen, Daniel Y. Fu, Dyah Adila, Michael Zhang, Frederic Sala, Kayvon Fatahalian, Christopher Ré:
Shoring up the foundations: fusing model embeddings and weak supervision. UAI 2022: 357-367 - 2021
- [c160]Mayee F. Chen, Benjamin Cohen-Wang, Stephen Mussmann, Frederic Sala, Christopher Ré:
Comparing the Value of Labeled and Unlabeled Data in Method-of-Moments Latent Variable Estimation. AISTATS 2021: 3286-3294 - [c159]Laurel J. Orr, Megan Leszczynski, Neel Guha, Sen Wu, Simran Arora, Xiao Ling, Christopher Ré:
Bootleg: Chasing the Tail with Self-Supervised Named Entity Disambiguation. CIDR 2021 - [c158]Maya Varma, Laurel J. Orr, Sen Wu, Megan Leszczynski, Xiao Ling, Christopher Ré:
Cross-Domain Data Integration for Named Entity Disambiguation in Biomedical Text. EMNLP (Findings) 2021: 4566-4575 - [c157]Beidi Chen, Zichang Liu, Binghui Peng, Zhaozhuo Xu, Jonathan Lingjie Li, Tri Dao, Zhao Song, Anshumali Shrivastava, Christopher Ré:
MONGOOSE: A Learnable LSH Framework for Efficient Neural Network Training. ICLR 2021 - [c156]Karan Goel, Albert Gu, Yixuan Li, Christopher Ré:
Model Patching: Closing the Subgroup Performance Gap with Data Augmentation. ICLR 2021 - [c155]Sarah M. Hooper, Michael Wornow, Ying Hang Seah, Peter Kellman, Hui Xue, Frederic Sala, Curtis P. Langlotz, Christopher Ré:
Cut out the annotator, keep the cutout: better segmentation with weak supervision. ICLR 2021 - [c154]Ines Chami, Albert Gu, Dat Nguyen, Christopher Ré:
HoroPCA: Hyperbolic Dimensionality Reduction via Horospherical Projections. ICML 2021: 1419-1429 - [c153]Mayee F. Chen, Karan Goel, Nimit Sharad Sohoni, Fait Poms, Kayvon Fatahalian, Christopher Ré:
Mandoline: Model Evaluation under Distribution Shift. ICML 2021: 1617-1629 - [c152]Jared Quincy Davis, Albert Gu, Krzysztof Choromanski, Tri Dao, Christopher Ré, Chelsea Finn, Percy Liang:
Catformer: Designing Stable Transformers via Sensitivity Analysis. ICML 2021: 2489-2499 - [c151]Khaled Saab, Sarah M. Hooper, Nimit Sharad Sohoni, Jupinder Parmar, Brian Pogatchnik, Sen Wu, Jared A. Dunnmon, Hongyang R. Zhang, Daniel L. Rubin, Christopher Ré:
Observational Supervision for Medical Image Classification Using Gaze Data. MICCAI (2) 2021: 603-614 - [c150]Bowen Yang, Jian Zhang, Jonathan Li, Christopher Ré, Christopher R. Aberger, Christopher De Sa:
PipeMare: Asynchronous Pipeline Parallel DNN Training. MLSys 2021 - [c149]Karan Goel, Nazneen Fatema Rajani, Jesse Vig, Zachary Taschdjian, Mohit Bansal, Christopher Ré:
Robustness Gym: Unifying the NLP Evaluation Landscape. NAACL-HLT (Demonstrations) 2021: 42-55 - [c148]Karan Goel, Laurel J. Orr, Nazneen Fatema Rajani, Jesse Vig, Christopher Ré:
Goodwill Hunting: Analyzing and Repurposing Off-the-Shelf Named Entity Linking Systems. NAACL-HLT (Industry Papers) 2021: 205-213 - [c147]Arjun D. Desai, Andrew M. Schmidt, Elka B. Rubin, Christopher M. Sandino, Marianne S. Black, Valentina Mazzoli, Kathryn J. Stevens, Robert Boutin, Christopher Ré, Garry Gold, Brian A. Hargreaves, Akshay Chaudhari:
SKM-TEA: A Dataset for Accelerated MRI Reconstruction with Dense Image Labels for Quantitative Clinical Evaluation. NeurIPS Datasets and Benchmarks 2021 - [c146]Albert Gu, Isys Johnson, Karan Goel, Khaled Saab, Tri Dao, Atri Rudra, Christopher Ré:
Combining Recurrent, Convolutional, and Continuous-time Models with Linear State Space Layers. NeurIPS 2021: 572-585 - [c145]Avanika Narayan, Piero Molino, Karan Goel, Willie Neiswanger, Christopher Ré:
Personalized Benchmarking with the Ludwig Benchmarking Toolkit. NeurIPS Datasets and Benchmarks 2021 - [c144]Nicholas Roberts, Mikhail Khodak, Tri Dao, Liam Li, Christopher Ré, Ameet Talwalkar:
Rethinking Neural Operations for Diverse Tasks. NeurIPS 2021: 15855-15869 - [c143]Beidi Chen, Tri Dao, Eric Winsor, Zhao Song, Atri Rudra, Christopher Ré:
Scatterbrain: Unifying Sparse and Low-rank Attention. NeurIPS 2021: 17413-17426 - 2020
- [c142]Simran Arora, Avner May, Jian Zhang, Christopher Ré:
Contextual Embeddings: When Are They Worth It? ACL 2020: 2650-2663 - [c141]Ines Chami, Adva Wolf, Da-Cheng Juan, Frederic Sala, Sujith Ravi, Christopher Ré:
Low-Dimensional Hyperbolic Knowledge Graph Embeddings. ACL 2020: 6901-6914 - [c140]Zhaobin Kuang, Frederic Sala, Nimit Sharad Sohoni, Sen Wu, Aldo Córdova-Palomera, Jared Dunnmon, James Priest, Christopher Ré:
Ivy: Instrumental Variable Synthesis for Causal Inference. AISTATS 2020: 398-410 - [c139]Luke Oakden-Rayner, Jared Dunnmon, Gustavo Carneiro, Christopher Ré:
Hidden stratification causes clinically meaningful failures in machine learning for medical imaging. CHIL 2020: 151-159 - [c138]Christopher Ré:
Overton: A Data System for Monitoring and Improving Machine-Learned Products. CIDR 2020 - [c137]Anna C. Gilbert, Albert Gu, Christopher Ré, Atri Rudra, Mary Wootters:
Sparse Recovery for Orthogonal Polynomial Transforms. ICALP 2020: 58:1-58:16 - [c136]Sen Wu, Hongyang R. Zhang, Christopher Ré:
Understanding and Improving Information Transfer in Multi-Task Learning. ICLR 2020 - [c135]Tri Dao, Nimit Sharad Sohoni, Albert Gu, Matthew Eichhorn, Amit Blonder, Megan Leszczynski, Atri Rudra, Christopher Ré:
Kaleidoscope: An Efficient, Learnable Representation For All Structured Linear Maps. ICLR 2020 - [c134]Daniel Y. Fu, Mayee F. Chen, Frederic Sala, Sarah M. Hooper, Kayvon Fatahalian, Christopher Ré:
Fast and Three-rious: Speeding Up Weak Supervision with Triplet Methods. ICML 2020: 3280-3291 - [c133]Sen Wu, Hongyang R. Zhang, Gregory Valiant, Christopher Ré:
On the Generalization Effects of Linear Transformations in Data Augmentation. ICML 2020: 10410-10420 - [c132]Megan Leszczynski, Avner May, Jian Zhang, Sen Wu, Christopher R. Aberger, Christopher Ré:
Understanding the Downstream Instability of Word Embeddings. MLSys 2020 - [c131]Ines Chami, Albert Gu, Vaggos Chatziafratis, Christopher Ré:
From Trees to Continuous Embeddings and Back: Hyperbolic Hierarchical Clustering. NeurIPS 2020 - [c130]Albert Gu, Tri Dao, Stefano Ermon, Atri Rudra, Christopher Ré:
HiPPO: Recurrent Memory with Optimal Polynomial Projections. NeurIPS 2020 - [c129]Nimit Sharad Sohoni, Jared Dunnmon, Geoffrey Angus, Albert Gu, Christopher Ré:
No Subclass Left Behind: Fine-Grained Robustness in Coarse-Grained Classification Problems. NeurIPS 2020 - 2019
- [c128]Alexander Ratner, Braden Hancock, Jared Dunnmon, Frederic Sala, Shreyash Pandey, Christopher Ré:
Training Complex Models with Multi-Task Weak Supervision. AAAI 2019: 4763-4771 - [c127]Jian Zhang, Avner May, Tri Dao, Christopher Ré:
Low-Precision Random Fourier Features for Memory-constrained Kernel Approximation. AISTATS 2019: 1264-1274 - [c126]Kun-Hsing Yu, Feiran Wang, Gerald J. Berry, Christopher Ré, Russ B. Altman, Michael Snyder, Isaac S. Kohane:
Classifying Non-Small Cell Lung Cancer Histopathology Types and Transcriptomic Subtypes using Convolutional Neural Networks. AMIA 2019 - [c125]Alexander J. Ratner, Braden Hancock, Christopher Ré:
The Role of Massively Multi-Task and Weak Supervision in Software 2.0. CIDR 2019 - [c124]Ranjay Krishna, Vincent S. Chen, Paroma Varma, Michael S. Bernstein, Christopher Ré, Li Fei-Fei:
Scene Graph Prediction With Limited Labels. ICCV 2019: 2580-2590 - [c123]Vincent S. Chen, Paroma Varma, Ranjay Krishna, Michael S. Bernstein, Christopher Ré, Li Fei-Fei:
Scene Graph Prediction with Limited Labels. ICCV Workshops 2019: 1772-1782 - [c122]Christopher De Sa, Ihab F. Ilyas, Benny Kimelfeld, Christopher Ré, Theodoros Rekatsinas:
A Formal Framework for Probabilistic Unclean Databases. ICDT 2019: 6:1-6:18 - [c121]Albert Gu, Frederic Sala, Beliz Gunel, Christopher Ré:
Learning Mixed-Curvature Representations in Product Spaces. ICLR (Poster) 2019 - [c120]Tri Dao, Albert Gu, Matthew Eichhorn, Atri Rudra, Christopher Ré:
Learning Fast Algorithms for Linear Transforms Using Butterfly Factorizations. ICML 2019: 1517-1527 - [c119]Tri Dao, Albert Gu, Alexander Ratner, Virginia Smith, Chris De Sa, Christopher Ré:
A Kernel Theory of Modern Data Augmentation. ICML 2019: 1528-1537 - [c118]Paroma Varma, Frederic Sala, Ann He, Alexander Ratner, Christopher Ré:
Learning Dependency Structures for Weak Supervision Models. ICML 2019: 6418-6427 - [c117]Zhenzhen Weng, Paroma Varma, Alexander Masalov, Jeffrey M. Ota, Christopher Ré:
Utilizing Weak Supervision to Infer Complex Objects and Situations in Autonomous Driving Data. IV 2019: 119-125 - [c116]Luke Hsiao, Sen Wu, Nicholas Chiang, Christopher Ré, Philip Alexander Levis:
Automating the generation of hardware component knowledge bases. LCTES 2019: 163-176 - [c115]Khaled Saab, Jared Dunnmon, Roger E. Goldman, Alexander Ratner, Hersh Sagreiya, Christopher Ré, Daniel L. Rubin:
Doubly Weak Supervision of Deep Learning Models for Head CT. MICCAI (3) 2019: 811-819 - [c114]Paroma Varma, Frederic Sala, Shiori Sagawa, Jason Alan Fries, Daniel Y. Fu, Saelig Khattar, Ashwini Ramamoorthy, Ke Xiao, Kayvon Fatahalian, James Priest, Christopher Ré:
Multi-Resolution Weak Supervision for Sequential Data. NeurIPS 2019: 192-203 - [c113]Ines Chami, Zhitao Ying, Christopher Ré, Jure Leskovec:
Hyperbolic Graph Convolutional Neural Networks. NeurIPS 2019: 4869-4880 - [c112]Vincent S. Chen, Sen Wu, Alexander J. Ratner, Jen Weng, Christopher Ré:
Slice-based Learning: A Programming Model for Residual Learning in Critical Data Slices. NeurIPS 2019: 9392-9402 - [c111]Avner May, Jian Zhang, Tri Dao, Christopher Ré:
On the Downstream Performance of Compressed Word Embeddings. NeurIPS 2019: 11782-11793 - [c110]Eran Bringer, Abraham Israeli, Yoav Shoham, Alexander Ratner, Christopher Ré:
Osprey: Weak Supervision of Imbalanced Extraction Problems without Code. DEEM@SIGMOD 2019: 4:1-4:11 - [c109]Stephen H. Bach, Daniel Rodriguez, Yintao Liu, Chong Luo, Haidong Shao, Cassandra Xia, Souvik Sen, Alexander Ratner, Braden Hancock, Houman Alborzi, Rahul Kuchhal, Christopher Ré, Rob Malkin:
Snorkel DryBell: A Case Study in Deploying Weak Supervision at Industrial Scale. SIGMOD Conference 2019: 362-375 - 2018
- [c108]Braden Hancock, Paroma Varma, Stephanie Wang, Martin Bringmann, Percy Liang, Christopher Ré:
Training Classifiers with Natural Language Explanations. ACL (1) 2018: 1884-1895 - [c107]Peng Xu, Bryan D. He, Christopher De Sa, Ioannis Mitliagkas, Christopher Ré:
Accelerated Stochastic Power Iteration. AISTATS 2018: 58-67 - [c106]Kun-Hsing Yu, Gerald J. Berry, Daniel L. Rubin, Christopher Ré, Russ B. Altman, Michael Snyder:
Unraveling the Molecular Basis of Lung Adenocarcinoma Dedifferentiation and Prognosis by Integrating Omics and Histopathology. AMIA 2018 - [c105]Christopher R. Aberger, Andrew Lamb, Kunle Olukotun, Christopher Ré:
LevelHeaded: A Unified Engine for Business Intelligence and Linear Algebra Querying. ICDE 2018: 449-460 - [c104]Anna T. Thomas, Albert Gu, Tri Dao, Atri Rudra, Christopher Ré:
Learning Invariance with Compact Transforms. ICLR (Workshop) 2018 - [c103]Frederic Sala, Christopher De Sa, Albert Gu, Christopher Ré:
Representation Tradeoffs for Hyperbolic Embeddings. ICML 2018: 4457-4466 - [c102]Christopher Ré:
Software 2.0 and Snorkel: Beyond Hand-Labeled Data. KDD 2018: 2876 - [c101]Anna T. Thomas, Albert Gu, Tri Dao, Atri Rudra, Christopher Ré:
Learning Compressed Transforms with Low Displacement Rank. NeurIPS 2018: 9066-9078 - [c100]Dragutin Petkovic, Lester Kobzik, Christopher Ré:
Machine learning and deep analytics for biocomputing: Call for better explainability. PSB 2018: 623-627 - [c99]Alexander Ratner, Braden Hancock, Jared Dunnmon, Roger E. Goldman, Christopher Ré:
Snorkel MeTaL: Weak Supervision for Multi-Task Learning. DEEM@SIGMOD 2018: 3:1-3:4 - [c98]Jian Zhang, Max Lam, Stephanie Wang, Paroma Varma, Luigi Nardi, Kunle Olukotun, Christopher Ré:
Exploring the Utility of Developer Exhaust. DEEM@SIGMOD 2018: 7:1-7:7 - [c97]Sen Wu, Luke Hsiao, Xiao Cheng, Braden Hancock, Theodoros Rekatsinas, Philip Alexander Levis, Christopher Ré:
Fonduer: Knowledge Base Construction from Richly Formatted Data. SIGMOD Conference 2018: 1301-1316 - [c96]Christopher De Sa, Albert Gu, Rohan Puttagunta, Christopher Ré, Atri Rudra:
A Two-pronged Progress in Structured Dense Matrix Vector Multiplication. SODA 2018: 1060-1079 - 2017
- [c95]Kun-Hsing Yu, Ce Zhang, Gerald J. Berry, Russ B. Altman, Christopher Ré, Daniel L. Rubin, Michael Snyder:
Predicting Non-Small Cell Lung Cancer Diagnosis and Prognosis by Fully Automated Microscopic Pathology Image Features. AMIA 2017 - [c94]Alexander Ratner, Stephen H. Bach, Henry R. Ehrenberg, Jason Alan Fries, Sen Wu, Christopher Ré:
Snorkel: A System for Lightweight Extraction. CIDR 2017 - [c93]Foto N. Afrati, Manas R. Joglekar, Christopher Ré, Semih Salihoglu, Jeffrey D. Ullman:
GYM: A Multiround Distributed Join Algorithm. ICDT 2017: 4:1-4:18 - [c92]Stephen H. Bach, Bryan Dawei He, Alexander Ratner, Christopher Ré:
Learning the Structure of Generative Models without Labeled Data. ICML 2017: 273-282 - [c91]Christopher De Sa, Kunle Olukotun, Christopher Ré:
Ensuring Rapid Mixing and Low Bias for Asynchronous Gibbs Sampling. IJCAI 2017: 4811-4815 - [c90]Christopher De Sa, Matthew Feldman, Christopher Ré, Kunle Olukotun:
Understanding and Optimizing Asynchronous Low-Precision Stochastic Gradient Descent. ISCA 2017: 561-574 - [c89]Madalina Fiterau, Suvrat Bhooshan, Jason A. Fries, Charles Bournhonesque, Jennifer L. Hicks, Eni Halilaj, Christopher Ré, Scott L. Delp:
ShortFuse: Biomedical Time Series Representations in the Presence of Structured Information. MLHC 2017: 59-74 - [c88]Paroma Varma, Bryan D. He, Payal Bajaj, Nishith Khandwala, Imon Banerjee, Daniel L. Rubin, Christopher Ré:
Inferring Generative Model Structure with Static Analysis. NIPS 2017: 240-250 - [c87]Alexander J. Ratner, Henry R. Ehrenberg, Zeshan Hussain, Jared Dunnmon, Christopher Ré:
Learning to Compose Domain-Specific Transformations for Data Augmentation. NIPS 2017: 3236-3246 - [c86]Tri Dao, Christopher De Sa, Christopher Ré:
Gaussian Quadrature for Kernel Features. NIPS 2017: 6107-6117 - [c85]Benny Kimelfeld, Christopher Ré:
A Relational Framework for Classifier Engineering. PODS 2017: 5-20 - [c84]Paroma Varma, Dan Iter, Christopher De Sa, Christopher Ré:
Flipper: A Systematic Approach to Debugging Training Sets. HILDA@SIGMOD 2017: 5:1-5:5 - [c83]Theodoros Rekatsinas, Manas Joglekar, Hector Garcia-Molina, Aditya G. Parameswaran, Christopher Ré:
SLiMFast: Guaranteed Results for Data Fusion and Source Reliability. SIGMOD Conference 2017: 1399-1414 - [c82]Alexander J. Ratner, Stephen H. Bach, Henry R. Ehrenberg, Christopher Ré:
Snorkel: Fast Training Set Generation for Information Extraction. SIGMOD Conference 2017: 1683-1686 - [c81]Christopher Ré:
Snorkel: Beyond Hand-labeled Data. UAI 2017 - 2016
- [c80]Ioannis Mitliagkas, Ce Zhang, Stefan Hadjis, Christopher Ré:
Asynchrony begets momentum, with an application to deep learning. Allerton 2016: 997-1004 - [c79]Christopher R. Aberger, Susan Tu, Kunle Olukotun, Christopher Ré:
Old techniques for new join algorithms: A case study in RDF processing. ICDE Workshops 2016: 97-102 - [c78]Michael J. Cafarella, Ihab F. Ilyas, Marcel Kornacker, Tim Kraska, Christopher Ré:
Dark Data: Are we solving the right problems? ICDE 2016: 1444-1445 - [c77]Manas Joglekar, Christopher Ré:
It's All a Matter of Degree: Using Degree Information to Optimize Multiway Joins. ICDT 2016: 11:1-11:17 - [c76]Christopher De Sa, Christopher Ré, Kunle Olukotun:
Ensuring Rapid Mixing and Low Bias for Asynchronous Gibbs Sampling. ICML 2016: 1567-1576 - [c75]Thomas Palomares, Youssef Ahres, Juhana Kangaspunta, Christopher Ré:
Wikipedia Knowledge Graph with DeepDive. Wiki@ICWSM 2016 - [c74]Scott Sallinen, Nadathur Satish, Mikhail Smelyanskiy, Samantika S. Sury, Christopher Ré:
High Performance Parallel Stochastic Gradient Descent in Shared Memory. IPDPS 2016: 873-882 - [c73]Bryan D. He, Christopher De Sa, Ioannis Mitliagkas, Christopher Ré:
Scan Order in Gibbs Sampling: Models in Which it Matters and Bounds on How Much. NIPS 2016: 1-9 - [c72]Peng Xu, Jiyan Yang, Farbod Roosta-Khorasani, Christopher Ré, Michael W. Mahoney:
Sub-sampled Newton Methods with Non-uniform Sampling. NIPS 2016: 3000-3008 - [c71]Alexander J. Ratner, Christopher De Sa, Sen Wu, Daniel Selsam, Christopher Ré:
Data Programming: Creating Large Training Sets, Quickly. NIPS 2016: 3567-3575 - [c70]Manas R. Joglekar, Rohan Puttagunta, Christopher Ré:
AJAR: Aggregations and Joins over Annotated Relations. PODS 2016: 91-106 - [c69]Henry R. Ehrenberg, Jaeho Shin, Alexander J. Ratner, Jason A. Fries, Christopher Ré:
Data programming with DDLite: putting humans in a different part of the loop. HILDA@SIGMOD 2016: 13 - [c68]Christopher R. Aberger, Susan Tu, Kunle Olukotun, Christopher Ré:
EmptyHeaded: A Relational Engine for Graph Processing. SIGMOD Conference 2016: 431-446 - [c67]Ce Zhang, Jaeho Shin, Christopher Ré, Michael J. Cafarella, Feng Niu:
Extracting Databases from Dark Data with DeepDive. SIGMOD Conference 2016: 847-859 - [c66]Jiyan Yang, Yinlam Chow, Christopher Ré, Michael W. Mahoney:
Weighted SGD for ℓp Regression with Randomized Preconditioning. SODA 2016: 558-569 - 2015
- [c65]Benny Kimelfeld, Christopher Ré:
A Database Framework for Classifier Engineering. AMW 2015 - [c64]Christopher Ré:
Jedi: A Storage Manager for SIMD-aware, Worst-case Optimal Join Processing. EDBT/ICDT Workshops 2015: 2 - [c63]Christopher De Sa, Christopher Ré, Kunle Olukotun:
Global Convergence of Stochastic Gradient Descent for Some Non-convex Matrix Problems. ICML 2015: 2332-2341 - [c62]Sorathan Chaturapruek, John C. Duchi, Christopher Ré:
Asynchronous stochastic convex optimization: the noise is in the noise and SGD don't care. NIPS 2015: 1531-1539 - [c61]Christopher De Sa, Ce Zhang, Kunle Olukotun, Christopher Ré:
Taming the Wild: A Unified Analysis of Hogwild-Style Algorithms. NIPS 2015: 2674-2682 - [c60]Christopher De Sa, Ce Zhang, Kunle Olukotun, Christopher Ré:
Rapidly Mixing Gibbs Sampling for a Class of Factor Graphs Using Hierarchy Width. NIPS 2015: 3097-3105 - [c59]Mahmoud Abo Khamis, Hung Q. Ngo, Christopher Ré, Atri Rudra:
Joins via Geometric Resolutions: Worst-case and Beyond. PODS 2015: 213-228 - [c58]Stefan Hadjis, Firas Abuzaid, Ce Zhang, Christopher Ré:
Caffe con Troll: Shallow Ideas to Speed Up Deep Learning. DanaC@SIGMOD 2015: 2:1-2:4 - [c57]Dung T. Nguyen, Molham Aref, Martin Bravenboer, George Kollias, Hung Q. Ngo, Christopher Ré, Atri Rudra:
Join Processing for Graph Patterns: An Old Dog with New Tricks. GRADES@SIGMOD/PODS 2015: 2:1-2:8 - [c56]Christopher Ré, Divy Agrawal, Magdalena Balazinska, Michael J. Cafarella, Michael I. Jordan, Tim Kraska, Raghu Ramakrishnan:
Machine Learning and Databases: The Sound of Things to Come or a Cacophony of Hype? SIGMOD Conference 2015: 283-284 - [c55]Manas Joglekar, Hector Garcia-Molina, Aditya G. Parameswaran, Christopher Ré:
Exploiting Correlations for Expensive Predicate Evaluation. SIGMOD Conference 2015: 1183-1198 - [c54]Adam Perelman, Christopher Ré:
DunceCap: Compiling Worst-Case Optimal Query Plans. SIGMOD Conference 2015: 2075-2076 - [c53]Susan Tu, Christopher Ré:
DunceCap: Query Plans Using Generalized Hypertree Decompositions. SIGMOD Conference 2015: 2077-2078 - 2014
- [c52]Christopher Ré:
Links between Join Processing and Convex Geometry. ICDT 2014: 2 - [c51]Christopher Ré:
The Theory of Zeta Graphs with an Application to Random Networks. ICDT 2014: 189-200 - [c50]Ji Liu, Stephen J. Wright, Christopher Ré, Victor Bittorf, Srikrishna Sridhar:
An Asynchronous Parallel Stochastic Coordinate Descent Algorithm. ICML 2014: 469-477 - [c49]Sriraam Natarajan, Jose Picado, Tushar Khot, Kristian Kersting, Christopher Ré, Jude W. Shavlik:
Effectively Creating Weakly Labeled Training Examples via Approximate Domain Knowledge. ILP 2014: 92-107 - [c48]Yingbo Zhou, Utkarsh Porwal, Ce Zhang, Hung Q. Ngo, Long Nguyen, Christopher Ré, Venu Govindaraju:
Parallel Feature Selection Inspired by Group Testing. NIPS 2014: 3554-3562 - [c47]Hung Q. Ngo, Dung T. Nguyen, Christopher Ré, Atri Rudra:
Beyond worst-case analysis for joins with minesweeper. PODS 2014: 234-245 - [c46]Ce Zhang, Arun Kumar, Christopher Ré:
Materialization optimizations for feature selection workloads. SIGMOD Conference 2014: 265-276 - [c45]Victor Bittorf, Marcel Kornacker, Christopher Ré, Ce Zhang:
Tradeoffs in Main-Memory Statistical Analytics from Impala to DimmWitted. IMDM@VLDB 2014: 55-56 - 2013
- [c44]Sriraam Natarajan, Jose Picado, Tushar Khot, Kristian Kersting, Christopher Ré, Jude W. Shavlik:
Using Commonsense Knowledge to Automatically Create (Noisy) Training Examples from Text. StarAI@AAAI 2013 - [c43]Vidhya Govindaraju, Ce Zhang, Christopher Ré:
Understanding Tables in Context Using Standard NLP Toolkits. ACL (2) 2013: 658-664 - [c42]Christopher Ré:
A Tutorial on Trained Systems: A New Generation of Data Management Systems? BNCOD 2013: 13 - [c41]Michael R. Anderson, Dolan Antenucci, Victor Bittorf, Matthew Burgess, Michael J. Cafarella, Arun Kumar, Feng Niu, Yongjoo Park, Christopher Ré, Ce Zhang:
Brainwash: A Data System for Feature Engineering. CIDR 2013 - [c40]Srikrishna Sridhar, Stephen J. Wright, Christopher Ré, Ji Liu, Victor Bittorf, Ce Zhang:
An Approximate, Efficient LP Solver for LP Rounding. NIPS 2013: 2895-2903 - [c39]Ce Zhang, Christopher Ré:
Towards high-throughput gibbs sampling at scale: a study across storage managers. SIGMOD Conference 2013: 397-408 - [c38]Ce Zhang, Vidhya Govindaraju, Jackson Borchardt, Tim Foltz, Christopher Ré, Shanan Peters:
GeoDeepDive: statistical inference using familiar data-processing languages. SIGMOD Conference 2013: 993-996 - [c37]John R. Frank, Steven J. Bauer, Max Kleiman-Weiner, Daniel A. Roberts, Nilesh Tripuraneni, Ce Zhang, Christopher Ré, Ellen M. Voorhees, Ian Soboroff:
Evaluating Stream Filtering for Entity Profile Updates for TREC 2013. TREC 2013 - [c36]Tushar Khot, Ce Zhang, Jude W. Shavlik, Sriraam Natarajan, Christopher Ré:
Bootstrapping Knowledge Base Acceleration. TREC 2013 - [c35]Dolan Antenucci, Michael J. Cafarella, Margaret Levenstein, Christopher Ré, Matthew D. Shapiro:
Ringtail: Feature Selection For Easier Nowcasting. WebDB 2013: 49-54 - 2012
- [c34]Ce Zhang, Feng Niu, Christopher Ré, Jude W. Shavlik:
Big Data versus the Crowd: Looking for Relationships in All the Right Places. ACL (1) 2012: 825-834 - [c33]Fei Chen, Xixuan Feng, Christopher Ré, Min Wang:
Optimizing Statistical Information Extraction Programs over Evolving Text. ICDE 2012: 870-881 - [c32]Feng Niu, Ce Zhang, Christopher Ré, Jude W. Shavlik:
Scaling Inference for Markov Logic via Dual Decomposition. ICDM 2012: 1032-1037 - [c31]Ben Recht, Christopher Ré, Joel A. Tropp, Victor Bittorf:
Factoring nonnegative matrices with linear programs. NIPS 2012: 1223-1231 - [c30]Hung Q. Ngo, Ely Porat, Christopher Ré, Atri Rudra:
Worst-case optimal join algorithms: [extended abstract]. PODS 2012: 37-48 - [c29]Xixuan Feng, Arun Kumar, Benjamin Recht, Christopher Ré:
Towards a unified architecture for in-RDBMS analytics. SIGMOD Conference 2012: 325-336 - [c28]John R. Frank, Max Kleiman-Weiner, Daniel A. Roberts, Feng Niu, Ce Zhang, Christopher Ré, Ian Soboroff:
Building an Entity-Centric Stream Filtering Test Collection for TREC 2012. TREC 2012 - [c27]Feng Niu, Ce Zhang, Christopher Ré, Jude W. Shavlik:
DeepDive: Web-scale Knowledge-base Construction using Statistical Learning and Inference. VLDS 2012: 25-28 - [c26]Benjamin Recht, Christopher Ré:
Toward a Noncommutative Arithmetic-geometric Mean Inequality: Conjectures, Case-studies, and Consequences. COLT 2012: 11.1-11.24 - 2011
- [c25]Benjamin Recht, Christopher Ré, Stephen J. Wright, Feng Niu:
Hogwild: A Lock-Free Approach to Parallelizing Stochastic Gradient Descent. NIPS 2011: 693-701 - 2010
- [c24]Julie Letchner, Christopher Ré, Magdalena Balazinska, Matthai Philipose:
Approximation trade-offs in Markovian stream processing: An empirical study. ICDE 2010: 936-939 - [c23]Benny Kimelfeld, Christopher Ré:
Transducing Markov sequences. PODS 2010: 15-26 - [c22]Christopher Ré, Dan Suciu:
Understanding cardinality estimation using entropy maximization. PODS 2010: 53-64 - [c21]Michael J. Cafarella, Christopher Ré:
Manimal: Relational Optimization for Data-Intensive Programs. WebDB 2010 - 2009
- [c20]Raghav Kaushik, Christopher Ré, Dan Suciu:
General Database Statistics Using Entropy Maximization. DBPL 2009: 84-99 - [c19]Julie Letchner, Christopher Ré, Magdalena Balazinska, Matthai Philipose:
Access Methods for Markovian Streams. ICDE 2009: 246-257 - [c18]Arvind Arasu, Christopher Ré, Dan Suciu:
Large-Scale Deduplication with Constraints Using Dedupalog. ICDE 2009: 952-963 - [c17]Katherine F. Moore, Vibhor Rastogi, Christopher Ré, Dan Suciu:
Query Containment of Tier-2 Queries over a Probabilistic Database. MUD 2009: 47-62 - 2008
- [c16]Ting-You Wang, Christopher Ré, Dan Suciu:
Implementing NOT EXISTS Predicates over a Probabilistic Database. QDB/MUD 2008: 73-86 - [c15]Christopher Ré, Julie Letchner, Magdalena Balazinska, Dan Suciu:
Event queries on correlated probabilistic streams. SIGMOD Conference 2008: 715-728 - [c14]Nodira Khoussainova, Evan Welbourne, Magdalena Balazinska, Gaetano Borriello, Garrett Cole, Julie Letchner, Yang Li, Christopher Ré, Dan Suciu, Jordan Walke:
A demonstration of Cascadia through a digital diary application. SIGMOD Conference 2008: 1319-1322 - [c13]Christopher Ré, Dan Suciu:
Managing Probabilistic Data with MystiQ: The Can-Do, the Could-Do, and the Can't-Do. SUM 2008: 5-18 - 2007
- [c12]Michael J. Cafarella, Christopher Ré, Dan Suciu, Oren Etzioni:
Structured Querying of Web Text Data: A Technical Challenge. CIDR 2007: 225-234 - [c11]Christopher Ré, Dan Suciu:
Management of data with uncertainties. CIKM 2007: 3-8 - [c10]Christopher Ré, Dan Suciu:
Efficient Evaluation of. DBPL 2007: 186-200 - [c9]Christopher Ré, Nilesh N. Dalvi, Dan Suciu:
Efficient Top-k Query Evaluation on Probabilistic Data. ICDE 2007: 886-895 - [c8]Christopher Ré, Dan Suciu:
Materialized Views in Probabilistic Databases for Information Exchange and Query Optimization. VLDB 2007: 51-62 - 2006
- [c7]Giorgio Ghelli, Christopher Ré, Jérôme Siméon:
XQuery!: An XML Query Language with Side Effects. EDBT Workshops 2006: 178-191 - [c6]Christopher Ré, Jérôme Siméon, Mary F. Fernández:
A Complete and Efficient Algebraic Compiler for XQuery. ICDE 2006: 14 - 2005
- [c5]Chavdar Botev, Hubert Chao, Theodore Chao, Yim Cheng, Raymond Doyle, Sergey Grankin, Jon Guarino, Saikat Guha, Pei-Chen Lee, Dan Perry, Christopher Ré, Ilya Rifkin, Tingyan Yuan, Dora Abdullah, Kathy Carpenter, David Gries, Dexter Kozen, Andrew C. Myers, David I. Schwartz, Jayavel Shanmugasundaram:
Supporting workflow in a course management system. SIGCSE 2005: 262-266 - [c4]Jihad Boulos, Nilesh N. Dalvi, Bhushan Mandhani, Shobhit Mathur, Christopher Ré, Dan Suciu:
MYSTIQ: a system for finding more answers by using probabilities. SIGMOD Conference 2005: 891-893 - [c3]Nathan Bales, James F. Brinkley, E. Sally Lee, Shobhit Mathur, Christopher Ré, Dan Suciu:
A Framework for XML-Based Integration of Data, Visualization and Analysis in a Biomedical Domain. XSym 2005: 207-221 - 2003
- [c2]Werner Vogels, Christopher Ré:
WS-Membership - Failure Management in a Web-Services World. WWW (Alternate Paper Tracks) 2003 - 2002
- [c1]Werner Vogels, Christopher Ré, Robbert van Renesse, Kenneth P. Birman:
A Collaborative Infrastructure for Scalable and Robust News Delivery. ICDCS Workshops 2002: 655-659
Informal and Other Publications
- 2024
- [i170]Michael Zhang, Kush Bhatia, Hermann Kumbong, Christopher Ré:
The Hedgehog & the Porcupine: Expressive Linear Attentions with Softmax Mimicry. CoRR abs/2402.04347 (2024) - [i169]Jordan Juravsky, Bradley C. A. Brown, Ryan Saul Ehrlich, Daniel Y. Fu, Christopher Ré, Azalia Mirhoseini:
Hydragen: High-Throughput LLM Inference with Shared Prefixes. CoRR abs/2402.05099 (2024) - [i168]Jon Saad-Falcon, Daniel Y. Fu, Simran Arora, Neel Guha, Christopher Ré:
Benchmarking and Building Long-Context Retrieval Models with LoCo and M2-BERT. CoRR abs/2402.07440 (2024) - [i167]Gautam Machiraju, Alexander Derry, Arjun D. Desai, Neel Guha, Amir-Hossein Karimi, James Zou, Russ B. Altman, Christopher Ré, Parag Mallick:
Prospector Heads: Generalized Feature Attribution for Large Models & Data. CoRR abs/2402.11729 (2024) - [i166]Simran Arora, Sabri Eyuboglu, Michael Zhang, Aman Timalsina, Silas Alberti, Dylan Zinsley, James Zou, Atri Rudra, Christopher Ré:
Simple linear attention language models balance the recall-throughput tradeoff. CoRR abs/2402.18668 (2024) - [i165]Michael Poli, Armin W. Thomas, Eric Nguyen, Pragaash Ponnusamy, Björn Deiseroth, Kristian Kersting, Taiji Suzuki, Brian Hie, Stefano Ermon, Christopher Ré, Ce Zhang, Stefano Massaroli:
Mechanistic Design and Scaling of Hybrid Architectures. CoRR abs/2403.17844 (2024) - 2023
- [i164]Daniel Y. Fu, Elliot L. Epstein, Eric Nguyen, Armin W. Thomas, Michael Zhang, Tri Dao, Atri Rudra, Christopher Ré:
Simple Hardware-Efficient Long Convolutions for Sequence Modeling. CoRR abs/2302.06646 (2023) - [i163]Michael Poli, Stefano Massaroli, Eric Nguyen, Daniel Y. Fu, Tri Dao, Stephen Baccus, Yoshua Bengio, Stefano Ermon, Christopher Ré:
Hyena Hierarchy: Towards Larger Convolutional Language Models. CoRR abs/2302.10866 (2023) - [i162]Vishnu Sarukkai, Linden Li, Arden Ma, Christopher Ré, Kayvon Fatahalian:
Collage Diffusion. CoRR abs/2303.00262 (2023) - [i161]Ying Sheng, Lianmin Zheng, Binhang Yuan, Zhuohan Li, Max Ryabinin, Daniel Y. Fu, Zhiqiang Xie, Beidi Chen, Clark W. Barrett, Joseph E. Gonzalez, Percy Liang, Christopher Ré, Ion Stoica, Ce Zhang:
High-throughput Generative Inference of Large Language Models with a Single GPU. CoRR abs/2303.06865 (2023) - [i160]Michael Zhang, Khaled Kamal Saab, Michael Poli, Tri Dao, Karan Goel, Christopher Ré:
Effectively Modeling Time Series with Simple Discrete State Spaces. CoRR abs/2303.09489 (2023) - [i159]Simran Arora, Brandon Yang, Sabri Eyuboglu, Avanika Narayan, Andrew Hojel, Immanuel Trummer, Christopher Ré:
Language Models Enable Simple Systems for Generating Structured Views of Heterogeneous Data Lakes. CoRR abs/2304.09433 (2023) - [i158]Kush Bhatia, Avanika Narayan, Christopher De Sa, Christopher Ré:
TART: A plug-and-play Transformer module for task-agnostic reasoning. CoRR abs/2306.07536 (2023) - [i157]Khaled Saab, Siyi Tang, Mohamed Taha, Christopher Lee-Messer, Christopher Ré, Daniel L. Rubin:
Towards trustworthy seizure onset detection using workflow notes. CoRR abs/2306.08728 (2023) - [i156]Zhenyu Zhang, Ying Sheng, Tianyi Zhou, Tianlong Chen, Lianmin Zheng, Ruisi Cai, Zhao Song, Yuandong Tian, Christopher Ré, Clark W. Barrett, Zhangyang Wang, Beidi Chen:
H2O: Heavy-Hitter Oracle for Efficient Generative Inference of Large Language Models. CoRR abs/2306.14048 (2023) - [i155]Eric Nguyen, Michael Poli, Marjan Faizi, Armin W. Thomas, Callum Birch-Sykes, Michael Wornow, Aman Patel, Clayton M. Rabideau, Stefano Massaroli, Yoshua Bengio, Stefano Ermon, Stephen A. Baccus, Christopher Ré:
HyenaDNA: Long-Range Genomic Sequence Modeling at Single Nucleotide Resolution. CoRR abs/2306.15794 (2023) - [i154]Moses Charikar, Beidi Chen, Christopher Ré, Erik Waingarten:
Fast Algorithms for a New Relaxation of Optimal Transport. CoRR abs/2307.10042 (2023) - [i153]Neel Guha, Mayee F. Chen, Kush Bhatia, Azalia Mirhoseini, Frederic Sala, Christopher Ré:
Embroid: Unsupervised Prediction Smoothing Can Improve Few-Shot Classification. CoRR abs/2307.11031 (2023) - [i152]Mayee F. Chen, Nicholas Roberts, Kush Bhatia, Jue Wang, Ce Zhang, Frederic Sala, Christopher Ré:
Skill-it! A Data-Driven Skills Framework for Understanding and Training Language Models. CoRR abs/2307.14430 (2023) - [i151]Benjamin Spector, Christopher Ré:
Accelerating LLM Inference with Staged Speculative Decoding. CoRR abs/2308.04623 (2023) - [i150]Neel Guha, Julian Nyarko, Daniel E. Ho, Christopher Ré, Adam Chilton, Aditya Narayana, Alex Chohlas-Wood, Austin Peters, Brandon Waldon, Daniel N. Rockmore, Diego Zambrano, Dmitry Talisman, Enam Hoque, Faiz Surani, Frank Fagan, Galit Sarfaty, Gregory M. Dickinson, Haggai Porat, Jason Hegland, Jessica Wu, Joe Nudell, Joel Niklaus, John J. Nay, Jonathan H. Choi, Kevin Tobia, Margaret Hagan, Megan Ma, Michael A. Livermore, Nikon Rasumov-Rahe, Nils Holzenberger, Noam Kolt, Peter Henderson, Sean Rehaag, Sharad Goel, Shang Gao, Spencer Williams, Sunny Gandhi, Tom Zur, Varun Iyer, Zehua Li:
LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Models. CoRR abs/2308.11462 (2023) - [i149]Christopher Fifty, Dennis Duan, Ronald G. Junkins, Ehsan Amid, Jure Leskovec, Christopher Ré, Sebastian Thrun:
Context-Aware Meta-Learning. CoRR abs/2310.10971 (2023) - [i148]Daniel Y. Fu, Simran Arora, Jessica Grogan, Isys Johnson, Sabri Eyuboglu, Armin W. Thomas, Benjamin Spector, Michael Poli, Atri Rudra, Christopher Ré:
Monarch Mixer: A Simple Sub-Quadratic GEMM-Based Architecture. CoRR abs/2310.12109 (2023) - [i147]Zichang Liu, Jue Wang, Tri Dao, Tianyi Zhou, Binhang Yuan, Zhao Song, Anshumali Shrivastava, Ce Zhang, Yuandong Tian, Christopher Ré, Beidi Chen:
Deja Vu: Contextual Sparsity for Efficient LLMs at Inference Time. CoRR abs/2310.17157 (2023) - [i146]Stefano Massaroli, Michael Poli, Daniel Y. Fu, Hermann Kumbong, Rom N. Parnichkun, Aman Timalsina, David W. Romero, Quinn McIntyre, Beidi Chen, Atri Rudra, Ce Zhang, Christopher Ré, Stefano Ermon, Yoshua Bengio:
Laughing Hyena Distillery: Extracting Compact Recurrences From Convolutions. CoRR abs/2310.18780 (2023) - [i145]Daniel Y. Fu, Hermann Kumbong, Eric Nguyen, Christopher Ré:
FlashFFTConv: Efficient Convolutions for Long Sequences with Tensor Cores. CoRR abs/2311.05908 (2023) - [i144]Simran Arora, Sabri Eyuboglu, Aman Timalsina, Isys Johnson, Michael Poli, James Zou, Atri Rudra, Christopher Ré:
Zoology: Measuring and Improving Recall in Efficient Language Models. CoRR abs/2312.04927 (2023) - 2022
- [i143]Nimit Sharad Sohoni, Maziar Sanjabi, Nicolas Ballas, Aditya Grover, Shaoliang Nie, Hamed Firooz, Christopher Ré:
BARACK: Partially Supervised Group Robustness With Guarantees. CoRR abs/2201.00072 (2022) - [i142]Karan Goel, Albert Gu, Chris Donahue, Christopher Ré:
It's Raw! Audio Generation with State-Space Models. CoRR abs/2202.09729 (2022) - [i141]Michael Zhang, Nimit Sharad Sohoni, Hongyang R. Zhang, Chelsea Finn, Christopher Ré:
Correct-N-Contrast: A Contrastive Approach for Improving Robustness to Spurious Correlations. CoRR abs/2203.01517 (2022) - [i140]Arjun D. Desai, Andrew M. Schmidt, Elka B. Rubin, Christopher M. Sandino, Marianne S. Black, Valentina Mazzoli, Kathryn J. Stevens, Robert Boutin, Christopher Ré, Garry Gold, Brian A. Hargreaves, Akshay S. Chaudhari:
SKM-TEA: A Dataset for Accelerated MRI Reconstruction with Dense Image Labels for Quantitative Clinical Evaluation. CoRR abs/2203.06823 (2022) - [i139]Simran Arora, Patrick S. H. Lewis, Angela Fan, Jacob Kahn, Christopher Ré:
Reasoning over Public and Private Data in Retrieval-Based Systems. CoRR abs/2203.11027 (2022) - [i138]Mayee F. Chen, Daniel Y. Fu, Dyah Adila, Michael Zhang, Frederic Sala, Kayvon Fatahalian, Christopher Ré:
Shoring Up the Foundations: Fusing Model Embeddings and Weak Supervision. CoRR abs/2203.13270 (2022) - [i137]Sabri Eyuboglu, Maya Varma, Khaled Saab, Jean-Benoit Delbrouck, Christopher Lee-Messer, Jared Dunnmon, James Zou, Christopher Ré:
Domino: Discovering Systematic Errors with Cross-Modal Embeddings. CoRR abs/2203.14960 (2022) - [i136]Tri Dao, Beidi Chen, Nimit Sharad Sohoni, Arjun D. Desai, Michael Poli, Jessica Grogan, Alexander Liu, Aniruddh Rao, Atri Rudra, Christopher Ré:
Monarch: Expressive Structured Matrices for Efficient and Accurate Training. CoRR abs/2204.00595 (2022) - [i135]Mayee F. Chen, Daniel Y. Fu, Avanika Narayan, Michael Zhang, Zhao Song, Kayvon Fatahalian, Christopher Ré:
Perfectly Balanced: Improving Transfer and Robustness of Supervised Contrastive Learning. CoRR abs/2204.07596 (2022) - [i134]Megan Leszczynski, Daniel Y. Fu, Mayee F. Chen, Christopher Ré:
TABi: Type-Aware Bi-Encoders for Open-Domain Entity Retrieval. CoRR abs/2204.08173 (2022) - [i133]Avanika Narayan, Ines Chami, Laurel J. Orr, Christopher Ré:
Can Foundation Models Wrangle Your Data? CoRR abs/2205.09911 (2022) - [i132]Simran Arora, Christopher Ré:
Can Foundation Models Help Us Achieve Perfect Secrecy? CoRR abs/2205.13722 (2022) - [i131]Tri Dao, Daniel Y. Fu, Stefano Ermon, Atri Rudra, Christopher Ré:
FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness. CoRR abs/2205.14135 (2022) - [i130]Armin W. Thomas, Christopher Ré, Russell A. Poldrack:
Comparing interpretation methods in mental state decoding analyses with deep learning models. CoRR abs/2205.15581 (2022) - [i129]Binhang Yuan, Yongjun He, Jared Quincy Davis, Tianyi Zhang, Tri Dao, Beidi Chen, Percy Liang, Christopher Ré, Ce Zhang:
Decentralized Training of Foundation Models in Heterogeneous Environments. CoRR abs/2206.01288 (2022) - [i128]Jue Wang, Binhang Yuan, Luka Rimanic, Yongjun He, Tri Dao, Beidi Chen, Christopher Ré, Ce Zhang:
Fine-tuning Language Models over Slow Networks using Activation Compression with Guarantees. CoRR abs/2206.01299 (2022) - [i127]Jupinder Parmar, Khaled Saab, Brian Pogatchnik, Daniel L. Rubin, Christopher Ré:
The Importance of Background Information for Out of Distribution Generalization. CoRR abs/2206.08794 (2022) - [i126]Albert Gu, Ankit Gupta, Karan Goel, Christopher Ré:
On the Parameterization and Initialization of Diagonal State Space Models. CoRR abs/2206.11893 (2022) - [i125]Albert Gu, Isys Johnson, Aman Timalsina, Atri Rudra, Christopher Ré:
How to Train Your HiPPO: State Space Models with Generalized Orthogonal Basis Projections. CoRR abs/2206.12037 (2022) - [i124]Michael Zhang, Christopher Ré:
Contrastive Adapters for Foundation Model Group Robustness. CoRR abs/2207.07180 (2022) - [i123]Neel Guha, Daniel E. Ho, Julian Nyarko, Christopher Ré:
LegalBench: Prototyping a Collaborative Benchmark for Legal Reasoning. CoRR abs/2209.06120 (2022) - [i122]Lingjiao Chen, Zhihua Jin, Sabri Eyuboglu, Christopher Ré, Matei Zaharia, James Zou:
HAPI: A Large-scale Longitudinal Dataset of Commercial ML API Predictions. CoRR abs/2209.08443 (2022) - [i121]Simran Arora, Avanika Narayan, Mayee F. Chen, Laurel J. Orr, Neel Guha, Kush Bhatia, Ines Chami, Frederic Sala, Christopher Ré:
Ask Me Anything: A simple strategy for prompting language models. CoRR abs/2210.02441 (2022) - [i120]Eric Nguyen, Karan Goel, Albert Gu, Gordon W. Downs, Preey Shah, Tri Dao, Stephen A. Baccus, Christopher Ré:
S4ND: Modeling Images and Videos as Multidimensional Signals Using State Spaces. CoRR abs/2210.06583 (2022) - [i119]Percy Liang, Rishi Bommasani, Tony Lee, Dimitris Tsipras, Dilara Soylu, Michihiro Yasunaga, Yian Zhang, Deepak Narayanan, Yuhuai Wu, Ananya Kumar, Benjamin Newman, Binhang Yuan, Bobby Yan, Ce Zhang, Christian Cosgrove, Christopher D. Manning, Christopher Ré, Diana Acosta-Navas, Drew A. Hudson, Eric Zelikman, Esin Durmus, Faisal Ladhak, Frieda Rong, Hongyu Ren, Huaxiu Yao, Jue Wang, Keshav Santhanam, Laurel J. Orr, Lucia Zheng, Mert Yüksekgönül, Mirac Suzgun, Nathan Kim, Neel Guha, Niladri S. Chatterji, Omar Khattab, Peter Henderson, Qian Huang, Ryan Chi, Sang Michael Xie, Shibani Santurkar, Surya Ganguli, Tatsunori Hashimoto, Thomas Icard, Tianyi Zhang, Vishrav Chaudhary, William Wang, Xuechen Li, Yifan Mai, Yuhui Zhang, Yuta Koreeda:
Holistic Evaluation of Language Models. CoRR abs/2211.09110 (2022) - [i118]Michael Poli, Stefano Massaroli, Federico Berto, Jinkyoo Park, Tri Dao, Christopher Ré, Stefano Ermon:
Transform Once: Efficient Operator Learning in Frequency Domain. CoRR abs/2211.14453 (2022) - [i117]Tri Dao, Daniel Y. Fu, Khaled Kamal Saab, Armin W. Thomas, Atri Rudra, Christopher Ré:
Hungry Hungry Hippos: Towards Language Modeling with State Space Models. CoRR abs/2212.14052 (2022) - 2021
- [i116]Karan Goel, Nazneen Fatema Rajani, Jesse Vig, Samson Tan, Jason Wu, Stephan Zheng, Caiming Xiong, Mohit Bansal, Christopher Ré:
Robustness Gym: Unifying the NLP Evaluation Landscape. CoRR abs/2101.04840 (2021) - [i115]Mayee F. Chen, Benjamin Cohen-Wang, Stephen Mussmann, Frederic Sala, Christopher Ré:
Comparing the Value of Labeled and Unlabeled Data in Method-of-Moments Latent Variable Estimation. CoRR abs/2103.02761 (2021) - [i114]Nicholas Roberts, Mikhail Khodak, Tri Dao, Liam Li, Christopher Ré, Ameet Talwalkar:
Rethinking Neural Operations for Diverse Tasks. CoRR abs/2103.15798 (2021) - [i113]Sahaana Suri, Ihab F. Ilyas, Christopher Ré, Theodoros Rekatsinas:
Ember: No-Code Context Enrichment via Similarity-Based Keyless Joins. CoRR abs/2106.01501 (2021) - [i112]Ines Chami, Albert Gu, Dat Nguyen, Christopher Ré:
HoroPCA: Hyperbolic Dimensionality Reduction via Horospherical Projections. CoRR abs/2106.03306 (2021) - [i111]Mayee F. Chen, Karan Goel, Nimit Sharad Sohoni, Fait Poms, Kayvon Fatahalian, Christopher Ré:
Mandoline: Model Evaluation under Distribution Shift. CoRR abs/2107.00643 (2021) - [i110]Piero Molino, Christopher Ré:
Declarative Machine Learning Systems. CoRR abs/2107.08148 (2021) - [i109]Armin W. Thomas, Christopher Ré, Russell A. Poldrack:
Challenges for cognitive decoding using deep learning methods. CoRR abs/2108.06896 (2021) - [i108]Arjun D. Desai, Batu M. Ozturkler, Christopher M. Sandino, Shreyas Vasanawala, Brian A. Hargreaves, Christopher Ré, John M. Pauly, Akshay S. Chaudhari:
Noise2Recon: A Semi-Supervised Framework for Joint MRI Reconstruction and Denoising. CoRR abs/2110.00075 (2021) - [i107]Maya Varma, Laurel J. Orr, Sen Wu, Megan Leszczynski, Xiao Ling, Christopher Ré:
Cross-Domain Data Integration for Named Entity Disambiguation in Biomedical Text. CoRR abs/2110.08228 (2021) - [i106]Simran Arora, Sen Wu, Enci Liu, Christopher Ré:
Metadata Shaping: Natural Language Annotations for the Tail. CoRR abs/2110.08430 (2021) - [i105]Albert Gu, Isys Johnson, Karan Goel, Khaled Saab, Tri Dao, Atri Rudra, Christopher Ré:
Combining Recurrent, Convolutional, and Continuous-time Models with Linear State-Space Layers. CoRR abs/2110.13985 (2021) - [i104]Beidi Chen, Tri Dao, Eric Winsor, Zhao Song, Atri Rudra, Christopher Ré:
Scatterbrain: Unifying Sparse and Low-rank Attention Approximation. CoRR abs/2110.15343 (2021) - [i103]Albert Gu, Karan Goel, Christopher Ré:
Efficiently Modeling Long Sequences with Structured State Spaces. CoRR abs/2111.00396 (2021) - [i102]Avanika Narayan, Piero Molino, Karan Goel, Willie Neiswanger, Christopher Ré:
Personalized Benchmarking with the Ludwig Benchmarking Toolkit. CoRR abs/2111.04260 (2021) - [i101]Beidi Chen, Tri Dao, Kaizhao Liang, Jiaming Yang, Zhao Song, Atri Rudra, Christopher Ré:
Pixelated Butterfly: Simple and Efficient Sparse training for Neural Network Models. CoRR abs/2112.00029 (2021) - 2020
- [i100]Daniel Y. Fu, Mayee F. Chen, Frederic Sala, Sarah M. Hooper, Kayvon Fatahalian, Christopher Ré:
Fast and Three-rious: Speeding Up Weak Supervision with Triplet Methods. CoRR abs/2002.11955 (2020) - [i99]Megan Leszczynski, Avner May, Jian Zhang, Sen Wu, Christopher R. Aberger, Christopher Ré:
Understanding the Downstream Instability of Word Embeddings. CoRR abs/2003.04983 (2020) - [i98]Sarah M. Hooper, Jared A. Dunnmon, Matthew P. Lungren, Sanjiv Sam Gambhir, Christopher Ré, Adam S. Wang, Bhavik N. Patel:
Assessing Robustness to Noise: Low-Cost Head CT Triage. CoRR abs/2003.07977 (2020) - [i97]Zhaobin Kuang, Frederic Sala, Nimit Sharad Sohoni, Sen Wu, Aldo Córdova-Palomera, Jared Dunnmon, James Priest, Christopher Ré:
Ivy: Instrumental Variable Synthesis for Causal Inference. CoRR abs/2004.05316 (2020) - [i96]Ines Chami, Adva Wolf, Da-Cheng Juan, Frederic Sala, Sujith Ravi, Christopher Ré:
Low-Dimensional Hyperbolic Knowledge Graph Embeddings. CoRR abs/2005.00545 (2020) - [i95]Sen Wu, Hongyang R. Zhang, Gregory Valiant, Christopher Ré:
On the Generalization Effects of Linear Transformations in Data Augmentation. CoRR abs/2005.00695 (2020) - [i94]Sen Wu, Hongyang R. Zhang, Christopher Ré:
Understanding and Improving Information Transfer in Multi-Task Learning. CoRR abs/2005.00944 (2020) - [i93]Ines Chami, Sami Abu-El-Haija, Bryan Perozzi, Christopher Ré, Kevin Murphy:
Machine Learning on Graphs: A Model and Comprehensive Taxonomy. CoRR abs/2005.03675 (2020) - [i92]Simran Arora, Avner May, Jian Zhang, Christopher Ré:
Contextual Embeddings: When Are They Worth It? CoRR abs/2005.09117 (2020) - [i91]Mayee F. Chen, Daniel Y. Fu, Frederic Sala, Sen Wu, Ravi Teja Mullapudi, Fait Poms, Kayvon Fatahalian, Christopher Ré:
Train and You'll Miss It: Interactive Model Iteration with Weak Supervision and Pre-Trained Embeddings. CoRR abs/2006.15168 (2020) - [i90]Kevin Kiningham, Christopher Ré, Philip Alexander Levis:
GRIP: A Graph Neural Network Accelerator Architecture. CoRR abs/2007.13828 (2020) - [i89]Karan Goel, Albert Gu, Yixuan Li, Christopher Ré:
Model Patching: Closing the Subgroup Performance Gap with Data Augmentation. CoRR abs/2008.06775 (2020) - [i88]Albert Gu, Tri Dao, Stefano Ermon, Atri Rudra, Christopher Ré:
HiPPO: Recurrent Memory with Optimal Polynomial Projections. CoRR abs/2008.07669 (2020) - [i87]Sahaana Suri, Raghuveer Chanda, Neslihan Bulut, Pradyumna Narayana, Yemao Zeng, Peter Bailis, Sugato Basu, Girija Narlikar, Christopher Ré, Abishek Sethi:
Leveraging Organizational Resources to Adapt Models to New Data Modalities. CoRR abs/2008.09983 (2020) - [i86]Ines Chami, Albert Gu, Vaggos Chatziafratis, Christopher Ré:
From Trees to Continuous Embeddings and Back: Hyperbolic Hierarchical Clustering. CoRR abs/2010.00402 (2020) - [i85]Laurel J. Orr, Megan Leszczynski, Simran Arora, Sen Wu, Neel Guha, Xiao Ling, Christopher Ré:
Bootleg: Chasing the Tail with Self-Supervised Named Entity Disambiguation. CoRR abs/2010.10363 (2020) - [i84]Hongyang R. Zhang, Fan Yang, Sen Wu, Weijie J. Su, Christopher Ré:
Sharp Bias-variance Tradeoffs of Hard Parameter Sharing in High-dimensional Linear Regression. CoRR abs/2010.11750 (2020) - [i83]Nimit Sharad Sohoni, Jared A. Dunnmon, Geoffrey Angus, Albert Gu, Christopher Ré:
No Subclass Left Behind: Fine-Grained Robustness in Coarse-Grained Classification Problems. CoRR abs/2011.12945 (2020) - [i82]Tri Dao, Nimit Sharad Sohoni, Albert Gu, Matthew Eichhorn, Amit Blonder, Megan Leszczynski, Atri Rudra, Christopher Ré:
Kaleidoscope: An Efficient, Learnable Representation For All Structured Linear Maps. CoRR abs/2012.14966 (2020) - 2019
- [i81]Paroma Varma, Frederic Sala, Ann He, Alexander Ratner, Christopher Ré:
Learning Dependency Structures for Weak Supervision Models. CoRR abs/1903.05844 (2019) - [i80]Tri Dao, Albert Gu, Matthew Eichhorn, Atri Rudra, Christopher Ré:
Learning Fast Algorithms for Linear Transforms Using Butterfly Factorizations. CoRR abs/1903.05895 (2019) - [i79]Jared Dunnmon, Alexander Ratner, Nishith Khandwala, Khaled Saab, Matthew Markert, Hersh Sagreiya, Roger E. Goldman, Christopher Lee-Messer, Matthew P. Lungren, Daniel L. Rubin, Christopher Ré:
Cross-Modal Data Programming Enables Rapid Medical Machine Learning. CoRR abs/1903.11101 (2019) - [i78]Alexander Ratner, Dan Alistarh, Gustavo Alonso, David G. Andersen, Peter Bailis, Sarah Bird, Nicholas Carlini, Bryan Catanzaro, Eric S. Chung, Bill Dally, Jeff Dean, Inderjit S. Dhillon, Alexandros G. Dimakis, Pradeep Dubey, Charles Elkan, Grigori Fursin, Gregory R. Ganger, Lise Getoor, Phillip B. Gibbons, Garth A. Gibson, Joseph E. Gonzalez, Justin Gottschlich, Song Han, Kim M. Hazelwood, Furong Huang, Martin Jaggi, Kevin G. Jamieson, Michael I. Jordan, Gauri Joshi, Rania Khalaf, Jason Knight, Jakub Konecný, Tim Kraska, Arun Kumar, Anastasios Kyrillidis, Jing Li, Samuel Madden, H. Brendan McMahan, Erik Meijer, Ioannis Mitliagkas, Rajat Monga, Derek Gordon Murray, Dimitris S. Papailiopoulos, Gennady Pekhimenko, Theodoros Rekatsinas, Afshin Rostamizadeh, Christopher Ré, Christopher De Sa, Hanie Sedghi, Siddhartha Sen, Virginia Smith, Alex Smola, Dawn Song, Evan R. Sparks, Ion Stoica, Vivienne Sze, Madeleine Udell, Joaquin Vanschoren, Shivaram Venkataraman, Rashmi Vinayak, Markus Weimer, Andrew Gordon Wilson, Eric P. Xing, Matei Zaharia, Ce Zhang, Ameet Talwalkar:
SysML: The New Frontier of Machine Learning Systems. CoRR abs/1904.03257 (2019) - [i77]Alison Callahan, Jason A. Fries, Christopher Ré, James I Huddleston III, Nicholas J. Giori, Scott L. Delp, Nigam H. Shah:
Medical device surveillance with electronic health records. CoRR abs/1904.07640 (2019) - [i76]Nimit Sharad Sohoni, Christopher Richard Aberger, Megan Leszczynski, Jian Zhang, Christopher Ré:
Low-Memory Neural Network Training: A Technical Report. CoRR abs/1904.10631 (2019) - [i75]Vincent S. Chen, Paroma Varma, Ranjay Krishna, Michael S. Bernstein, Christopher Ré, Li Fei-Fei:
Scene Graph Prediction with Limited Labels. CoRR abs/1904.11622 (2019) - [i74]Anna C. Gilbert, Albert Gu, Christopher Ré, Atri Rudra, Mary Wootters:
Sparse Recovery for Orthogonal Polynomial Transforms. CoRR abs/1907.08362 (2019) - [i73]Avner May, Jian Zhang, Tri Dao, Christopher Ré:
On the Downstream Performance of Compressed Word Embeddings. CoRR abs/1909.01264 (2019) - [i72]Christopher Ré, Feng Niu, Pallavi Gudipati, Charles Srisuwananukorn:
Overton: A Data System for Monitoring and Improving Machine-Learned Products. CoRR abs/1909.05372 (2019) - [i71]Vincent S. Chen, Sen Wu, Zhenzhen Weng, Alexander Ratner, Christopher Ré:
Slice-based Learning: A Programming Model for Residual Learning in Critical Data Slices. CoRR abs/1909.06349 (2019) - [i70]Luke Oakden-Rayner, Jared Dunnmon, Gustavo Carneiro, Christopher Ré:
Hidden Stratification Causes Clinically Meaningful Failures in Machine Learning for Medical Imaging. CoRR abs/1909.12475 (2019) - [i69]Daniel Y. Fu, Will Crichton, James Hong, Xinwei Yao, Haotian Zhang, Anh Truong, Avanika Narayan, Maneesh Agrawala, Christopher Ré, Kayvon Fatahalian:
Rekall: Specifying Video Events using Compositions of Spatiotemporal Labels. CoRR abs/1910.02993 (2019) - [i68]Bowen Yang, Jian Zhang, Jonathan Li, Christopher Ré, Christopher R. Aberger, Christopher De Sa:
PipeMare: Asynchronous Pipeline Parallel DNN Training. CoRR abs/1910.05124 (2019) - [i67]Frederic Sala, Paroma Varma, Jason A. Fries, Daniel Y. Fu, Shiori Sagawa, Saelig Khattar, Ashwini Ramamoorthy, Ke Xiao, Kayvon Fatahalian, James Priest, Christopher Ré:
Multi-Resolution Weak Supervision for Sequential Data. CoRR abs/1910.09505 (2019) - [i66]Ines Chami, Rex Ying, Christopher Ré, Jure Leskovec:
Hyperbolic Graph Convolutional Neural Networks. CoRR abs/1910.12933 (2019) - 2018
- [i65]Christopher De Sa, Ihab F. Ilyas, Benny Kimelfeld, Christopher Ré, Theodoros Rekatsinas:
A Formal Framework For Probabilistic Unclean Databases. CoRR abs/1801.06750 (2018) - [i64]Christopher De Sa, Megan Leszczynski, Jian Zhang, Alana Marzoev, Christopher R. Aberger, Kunle Olukotun, Christopher Ré:
High-Accuracy Low-Precision Training. CoRR abs/1803.03383 (2018) - [i63]Tri Dao, Albert Gu, Alexander J. Ratner, Virginia Smith, Christopher De Sa, Christopher Ré:
A Kernel Theory of Modern Data Augmentation. CoRR abs/1803.06084 (2018) - [i62]Aarthy Shivram Arun, Sai Vikneshwar Mani Jayaraman, Christopher Ré, Atri Rudra:
Hypertree Decompositions Revisited for PGMs. CoRR abs/1804.01640 (2018) - [i61]Christopher De Sa, Albert Gu, Christopher Ré, Frederic Sala:
Representation Tradeoffs for Hyperbolic Embeddings. CoRR abs/1804.03329 (2018) - [i60]Braden Hancock, Paroma Varma, Stephanie Wang, Martin Bringmann, Percy Liang, Christopher Ré:
Training Classifiers with Natural Language Explanations. CoRR abs/1805.03818 (2018) - [i59]Cody Coleman, Daniel Kang, Deepak Narayanan, Luigi Nardi, Tian Zhao, Jian Zhang, Peter Bailis, Kunle Olukotun, Christopher Ré, Matei Zaharia:
Analysis of DAWNBench, a Time-to-Accuracy Machine Learning Performance Benchmark. CoRR abs/1806.01427 (2018) - [i58]Aarthy Shivram Arun, Sai Vikneshwar Mani Jayaraman, Christopher Ré, Atri Rudra:
Hypertree Decompositions Revisited for PGMs. CoRR abs/1807.00886 (2018) - [i57]Anna T. Thomas, Albert Gu, Tri Dao, Atri Rudra, Christopher Ré:
Learning Compressed Transforms with Low Displacement Rank. CoRR abs/1810.02309 (2018) - [i56]Alexander Ratner, Braden Hancock, Jared Dunnmon, Frederic Sala, Shreyash Pandey, Christopher Ré:
Training Complex Models with Multi-Task Weak Supervision. CoRR abs/1810.02840 (2018) - [i55]Jian Zhang, Avner May, Tri Dao, Christopher Ré:
Low-Precision Random Fourier Features for Memory-Constrained Kernel Approximation. CoRR abs/1811.00155 (2018) - [i54]Stephen H. Bach, Daniel Rodriguez, Yintao Liu, Chong Luo, Haidong Shao, Cassandra Xia, Souvik Sen, Alexander Ratner, Braden Hancock, Houman Alborzi, Rahul Kuchhal, Christopher Ré, Rob Malkin:
Snorkel DryBell: A Case Study in Deploying Weak Supervision at Industrial Scale. CoRR abs/1812.00417 (2018) - 2017
- [i53]Theodoros Rekatsinas, Xu Chu, Ihab F. Ilyas, Christopher Ré:
HoloClean: Holistic Data Repairs with Probabilistic Inference. CoRR abs/1702.00820 (2017) - [i52]Stephen H. Bach, Bryan Dawei He, Alexander Ratner, Christopher Ré:
Learning the Structure of Generative Models without Labeled Data. CoRR abs/1703.00854 (2017) - [i51]Sen Wu, Luke Hsiao, Xiao Cheng, Braden Hancock, Theodoros Rekatsinas, Philip Alexander Levis, Christopher Ré:
Fonduer: Knowledge Base Construction from Richly Formatted Data. CoRR abs/1703.05028 (2017) - [i50]Jason A. Fries, Sen Wu, Alexander Ratner, Christopher Ré:
SwellShark: A Generative Model for Biomedical Named Entity Recognition without Labeled Data. CoRR abs/1704.06360 (2017) - [i49]Peter Bailis, Kunle Olukotun, Christopher Ré, Matei Zaharia:
Infrastructure for Usable Machine Learning: The Stanford DAWN Project. CoRR abs/1705.07538 (2017) - [i48]Jian Zhang, Ioannis Mitliagkas, Christopher Ré:
YellowFin and the Art of Momentum Tuning. CoRR abs/1706.03471 (2017) - [i47]Christopher De Sa, Bryan D. He, Ioannis Mitliagkas, Christopher Ré, Peng Xu:
Accelerated Stochastic Power Iteration. CoRR abs/1707.02670 (2017) - [i46]Christopher R. Aberger, Andrew Lamb, Kunle Olukotun, Christopher Ré:
LevelHeaded: Making Worst-Case Optimal Joins Work in the Common Case. CoRR abs/1708.07859 (2017) - [i45]Alexander J. Ratner, Henry R. Ehrenberg, Zeshan Hussain, Jared Dunnmon, Christopher Ré:
Learning to Compose Domain-Specific Transformations for Data Augmentation. CoRR abs/1709.01643 (2017) - [i44]Paroma Varma, Bryan D. He, Payal Bajaj, Imon Banerjee, Nishith Khandwala, Daniel L. Rubin, Christopher Ré:
Inferring Generative Model Structure with Static Analysis. CoRR abs/1709.02477 (2017) - [i43]Tri Dao, Christopher De Sa, Christopher Ré:
Gaussian Quadrature for Kernel Features. CoRR abs/1709.02605 (2017) - [i42]Alexander Ratner, Stephen H. Bach, Henry R. Ehrenberg, Jason Alan Fries, Sen Wu, Christopher Ré:
Snorkel: Rapid Training Data Creation with Weak Supervision. CoRR abs/1711.10160 (2017) - 2016
- [i41]Christopher R. Aberger, Susan Tu, Kunle Olukotun, Christopher Ré:
Old Techniques for New Join Algorithms: A Case Study in RDF Processing. CoRR abs/1602.03557 (2016) - [i40]Christopher De Sa, Kunle Olukotun, Christopher Ré:
Ensuring Rapid Mixing and Low Bias for Asynchronous Gibbs Sampling. CoRR abs/1602.07415 (2016) - [i39]Alexander Ratner, Christopher De Sa, Sen Wu, Daniel Selsam, Christopher Ré:
Data Programming: Creating Large Training Sets, Quickly. CoRR abs/1605.07723 (2016) - [i38]Xinghao Pan, Maximilian Lam, Stephen Tu, Dimitris S. Papailiopoulos, Ce Zhang, Michael I. Jordan, Kannan Ramchandran, Christopher Ré, Benjamin Recht:
CYCLADES: Conflict-free Asynchronous Machine Learning. CoRR abs/1605.09721 (2016) - [i37]Ioannis Mitliagkas, Ce Zhang, Stefan Hadjis, Christopher Ré:
Asynchrony begets Momentum, with an Application to Deep Learning. CoRR abs/1605.09774 (2016) - [i36]Bryan D. He, Christopher De Sa, Ioannis Mitliagkas, Christopher Ré:
Scan Order in Gibbs Sampling: Models in Which it Matters and Bounds on How Much. CoRR abs/1606.03432 (2016) - [i35]Stefan Hadjis, Ce Zhang, Ioannis Mitliagkas, Christopher Ré:
Omnivore: An Optimizer for Multi-device Deep Learning on CPUs and GPUs. CoRR abs/1606.04487 (2016) - [i34]Jian Zhang, Christopher De Sa, Ioannis Mitliagkas, Christopher Ré:
Parallel SGD: When does averaging help? CoRR abs/1606.07365 (2016) - [i33]Rose Yu, Paroma Varma, Dan Iter, Christopher De Sa, Christopher Ré:
Socratic Learning. CoRR abs/1610.08123 (2016) - [i32]Albert Gu, Rohan Puttagunta, Christopher Ré, Atri Rudra:
Recurrence Width for Structured Dense Matrix Vector Multiplication. CoRR abs/1611.01569 (2016) - 2015
- [i31]Sen Wu, Ce Zhang, Feiran Wang, Christopher Ré:
Incremental Knowledge Base Construction Using DeepDive. CoRR abs/1502.00731 (2015) - [i30]Christopher R. Aberger, Andres Nötzli, Kunle Olukotun, Christopher Ré:
EmptyHeaded: Boolean Algebra Based Graph Processing. CoRR abs/1503.02368 (2015) - [i29]Dung T. Nguyen, Molham Aref, Martin Bravenboer, George Kollias, Hung Q. Ngo, Christopher Ré, Atri Rudra:
Join Processing for Graph Patterns: An Old Dog with New Tricks. CoRR abs/1503.04169 (2015) - [i28]Firas Abuzaid, Stefan Hadjis, Ce Zhang, Christopher Ré:
Caffe con Troll: Shallow Ideas to Speed Up Deep Learning. CoRR abs/1504.04343 (2015) - [i27]Christopher De Sa, Ce Zhang, Kunle Olukotun, Christopher Ré:
Taming the Wild: A Unified Analysis of Hogwild!-Style Algorithms. CoRR abs/1506.06438 (2015) - [i26]Yuke Zhu, Ce Zhang, Christopher Ré, Li Fei-Fei:
Building a Large-scale Multimodal Knowledge Base for Visual Question Answering. CoRR abs/1507.05670 (2015) - [i25]Manas Joglekar, Christopher Ré:
It's all a matter of degree: Using degree information to optimize multiway joins. CoRR abs/1508.01239 (2015) - [i24]Manas Joglekar, Rohan Puttagunta, Christopher Ré:
Aggregations over Generalized Hypertree Decompositions. CoRR abs/1508.07532 (2015) - [i23]Christopher De Sa, Ce Zhang, Kunle Olukotun, Christopher Ré:
Rapidly Mixing Gibbs Sampling for a Class of Factor Graphs Using Hierarchy Width. CoRR abs/1510.00756 (2015) - [i22]Manas Joglekar, Theodoros Rekatsinas, Hector Garcia-Molina, Aditya G. Parameswaran, Christopher Ré:
Exploiting Features for Data Source Quality Estimation. CoRR abs/1512.06474 (2015) - 2014
- [i21]Ce Zhang, Christopher Ré:
DimmWitted: A Study of Main-Memory Statistical Analytics. CoRR abs/1403.7550 (2014) - [i20]Mahmoud Abo Khamis, Hung Q. Ngo, Christopher Ré, Atri Rudra:
Joins via Geometric Resolutions: Worst-case and Beyond. CoRR abs/1404.0703 (2014) - [i19]Shanan Peters, Ce Zhang, Miron Livny, Christopher Ré:
A machine-compiled macroevolutionary history of Phanerozoic life. CoRR abs/1406.2963 (2014) - [i18]Ce Zhang, Christopher Ré, Amir Abbas Sadeghian, Zifei Shan, Jaeho Shin, Feiran Wang, Sen Wu:
Feature Engineering for Knowledge Base Construction. CoRR abs/1407.6439 (2014) - [i17]Foto N. Afrati, Manas Joglekar, Christopher Ré, Semih Salihoglu, Jeffrey D. Ullman:
GYM: A Multiround Join Algorithm In MapReduce. CoRR abs/1410.4156 (2014) - [i16]Christopher De Sa, Kunle Olukotun, Christopher Ré:
Global Convergence of Stochastic Gradient Descent for Some Nonconvex Matrix Problems. CoRR abs/1411.1134 (2014) - [i15]Manas Joglekar, Hector Garcia-Molina, Aditya G. Parameswaran, Christopher Ré:
Exploiting Correlations for Expensive Predicate Evaluation. CoRR abs/1411.3374 (2014) - 2013
- [i14]Hung Q. Ngo, Dung T. Nguyen, Christopher Ré, Atri Rudra:
Towards Instance Optimal Join Algorithms for Data in Indexes. CoRR abs/1302.0914 (2013) - [i13]Hung Q. Ngo, Christopher Ré, Atri Rudra:
Skew Strikes Back: New Developments in the Theory of Join Algorithms. CoRR abs/1310.3314 (2013) - [i12]Srikrishna Sridhar, Victor Bittorf, Ji Liu, Ce Zhang, Christopher Ré, Stephen J. Wright:
An Approximate, Efficient Solver for LP Rounding. CoRR abs/1311.2661 (2013) - 2012
- [i11]Hung Q. Ngo, Ely Porat, Christopher Ré, Atri Rudra:
Worst-case Optimal Join Algorithms. CoRR abs/1203.1952 (2012) - [i10]Xixuan Feng, Arun Kumar, Ben Recht, Christopher Ré:
Towards a Unified Architecture for in-RDBMS Analytics. CoRR abs/1203.2574 (2012) - [i9]Victor Bittorf, Benjamin Recht, Christopher Ré, Joel A. Tropp:
Factoring nonnegative matrices with linear programs. CoRR abs/1206.1270 (2012) - [i8]Joseph M. Hellerstein, Christopher Ré, Florian Schoppmann, Daisy Zhe Wang, Eugene Fratkin, Aleksander Gorajek, Kee Siong Ng, Caleb Welton, Xixuan Feng, Kun Li, Arun Kumar:
The MADlib Analytics Library or MAD Skills, the SQL. CoRR abs/1208.4165 (2012) - 2011
- [i7]Mehmet Levent Koc, Christopher Ré:
Incrementally Maintaining Classification using an RDBMS. CoRR abs/1103.3107 (2011) - [i6]Feng Niu, Christopher Ré, AnHai Doan, Jude W. Shavlik:
Tuffy: Scaling up Statistical Inference in Markov Logic Networks using an RDBMS. CoRR abs/1104.3216 (2011) - [i5]Eaman Jahani, Michael J. Cafarella, Christopher Ré:
Automatic Optimization for MapReduce Programs. CoRR abs/1104.3217 (2011) - [i4]Arun Kumar, Christopher Ré:
Probabilistic Management of OCR Data using an RDBMS. CoRR abs/1106.0718 (2011) - [i3]Feng Niu, Benjamin Recht, Christopher Ré, Stephen J. Wright:
HOGWILD!: A Lock-Free Approach to Parallelizing Stochastic Gradient Descent. CoRR abs/1106.5730 (2011) - [i2]Feng Niu, Ce Zhang, Christopher Ré, Jude W. Shavlik:
Felix: Scaling Inference for Markov Logic with an Operator-based Approach. CoRR abs/1108.0294 (2011) - 2008
- [i1]Christoph Koch, Peter J. Haas, Hans-Joachim Lenz, Dan Olteanu, Christopher Ré, Maurice van Keulen, Jeff Z. Pan:
08421 Working Group: Report of the Probabilistic Databases Benchmarking. Uncertainty Management in Information Systems 2008
Coauthor Index
Christopher R. Aberger
aka: Christopher Richard Aberger
aka: Christopher Richard Aberger
[c202] [c200] [c199] [c198] [c197] [c181] [c177] [c171] [c169] [c168] [c166] [c165] [c157] [c152] [c146] [c144] [c143] [c135] [c130] [c127] [c120] [c119] [c111] [c104] [c101] [c86] [i164] [i163] [i160] [i147] [i136] [i131] [i129] [i128] [i120] [i118] [i117] [i114] [i105] [i104] [i101] [i88] [i82] [i80] [i73] [i63] [i57] [i55] [i43]
Jared Dunnmon
aka: Jared A. Dunnmon
aka: Jared A. Dunnmon
Sabri Eyuboglu
aka: Evan Sabri Eyuboglu
aka: Evan Sabri Eyuboglu
Jason Alan Fries
aka: Jason A. Fries
aka: Jason A. Fries
Manas Joglekar
aka: Manas R. Joglekar
aka: Manas R. Joglekar
Alexander Ratner
aka: Alexander J. Ratner
aka: Alexander J. Ratner
[j53] [j35] [j19] [c202] [c201] [c199] [c192] [c188] [c181] [c177] [c171] [c146] [c143] [c137] [c135] [c130] [c120] [c104] [c101] [c96] [c59] [c57] [c47] [c30] [i166] [i164] [i148] [i146] [i144] [i136] [i131] [i125] [i117] [i105] [i104] [i101] [i88] [i82] [i80] [i74] [i62] [i58] [i57] [i32] [i29] [i20] [i14] [i13] [i11]
Christopher De Sa
aka: Chris De Sa
aka: Chris De Sa
Khaled Saab 0002
aka: Khaled Kamal Saab
aka: Khaled Kamal Saab
[j47] [j40] [j39] [j37] [j36] [j31] [j29] [j26] [j17] [c198] [c196] [c195] [c188] [c182] [c166] [c165] [c95] [c80] [c67] [c61] [c60] [c58] [c48] [c46] [c45] [c43] [c41] [c40] [c39] [c38] [c37] [c36] [c34] [c32] [c28] [c27] [i165] [i161] [i147] [i146] [i129] [i128] [i119] [i78] [i38] [i37] [i35] [i31] [i28] [i27] [i26] [i23] [i21] [i19] [i18] [i12] [i2]
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