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ORCIDSamuel Madden 0001
Samuel R. Madden – Sam Madden 0001
Person information
- affiliation: MIT, CSAIL, Cambridge, USA
- affiliation (former): University of California at Berkeley, CA, USA
Other persons with the same name
- Samuel Madden 0002
![[0000-0003-1097-0732]](https://dblp.org/img/orcid-mark.12x12.png "0000-0003-1097-0732")
— Exponent Inc., Natick, MA, USA (and 1 more)
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2020 – today
- 2024
[j116]Jiaming Liang, Lei Cao, Samuel Madden, Zack Ives, Guoliang Li:
RITA: Group Attention is All You Need for Timeseries Analytics. Proc. ACM Manag. Data 2(1): 62:1-62:28 (2024)- [j115]Albert Kim, Samuel Madden:
Optimizing Disjunctive Queries with Tagged Execution. Proc. ACM Manag. Data 2(3): 158 (2024) - [j114]Huayi Zhang, Binwei Yan, Lei Cao, Samuel Madden, Elke A. Rundensteiner:
MetaStore: Analyzing Deep Learning Meta-Data at Scale. Proc. VLDB Endow. 17(6): 1446-1459 (2024) - [j113]Yuhao Deng, Yu Wang, Lei Cao, Lianpeng Qiao, Yuping Wang, Xu Jingzhe, Yizhou Yan, Samuel Madden:
Outlier Summarization via Human Interpretable Rules. Proc. VLDB Endow. 17(7): 1591-1604 (2024) - [j112]Ju Fan, Zihui Gu, Songyue Zhang, Yuxin Zhang, Zui Chen, Lei Cao, Guoliang Li, Samuel Madden, Xiaoyong Du, Nan Tang:
Combining Small Language Models and Large Language Models for Zero-Shot NL2SQL. Proc. VLDB Endow. 17(11): 2750-2763 (2024) - [j111]Geoffrey X. Yu, Ziniu Wu, Ferdinand Kossmann, Tianyu Li, Markos Markakis, Amadou Latyr Ngom, Samuel Madden, Tim Kraska:
Blueprinting the Cloud: Unifying and Automatically Optimizing Cloud Data Infrastructures with BRAD. Proc. VLDB Endow. 17(11): 3629-3643 (2024) - [j110]Samuel Madden, Michael J. Cafarella, Michael J. Franklin, Tim Kraska:
Databases Unbound: Querying All of the World's Bytes with AI. Proc. VLDB Endow. 17(12): 4546-4554 (2024) - [j109]Tianyu Li, Badrish Chandramouli, Samuel Madden:
Performant almost-latch-free data structures using epoch protection in more depth. VLDB J. 33(6): 1793-1812 (2024) - [c174]Jenny Gao, Jialin Ding, Sivaprasad Sudhir, Samuel Madden:
Learning Bit Allocations for Z-Order Layouts in Analytic Data Systems. aiDM@SIGMOD 2024: 5:1-5:9 - [c173]Tianyu Li, Badrish Chandramouli, Sebastian Burckhardt, Samuel Madden:
Serverless State Management Systems. CIDR 2024 - [i69]Joana M. F. da Trindade, Julian Shun, Samuel Madden, Nesime Tatbul:
Kairos: Efficient Temporal Graph Analytics on a Single Machine. CoRR abs/2401.02563 (2024) - [i68]Albert Kim, Samuel Madden:
Optimizing Disjunctive Queries with Tagged Execution. CoRR abs/2404.09109 (2024) - [i67]Chunwei Liu, Matthew Russo, Michael J. Cafarella, Lei Cao, Peter Baile Chen, Zui Chen, Michael J. Franklin, Tim Kraska, Samuel Madden, Gerardo Vitagliano:
A Declarative System for Optimizing AI Workloads. CoRR abs/2405.14696 (2024) - [i66]Ferdi Kossmann, Ziniu Wu, Alex Turk, Nesime Tatbul, Lei Cao, Samuel Madden:
CascadeServe: Unlocking Model Cascades for Inference Serving. CoRR abs/2406.14424 (2024) - [i65]Geoffrey X. Yu, Ziniu Wu, Ferdi Kossmann, Tianyu Li, Markos Markakis, Amadou Ngom, Samuel Madden, Tim Kraska:
Blueprinting the Cloud: Unifying and Automatically Optimizing Cloud Data Infrastructures with BRAD - Extended Version. CoRR abs/2407.15363 (2024) - [i64]Ferdi Kossmann, Bruce Fontaine, Daya Khudia, Michael J. Cafarella, Samuel Madden:
Is the GPU Half-Empty or Half-Full? Practical Scheduling Techniques for LLMs. CoRR abs/2410.17840 (2024) - 2023
- [j108]Lei Cao, Yizhou Yan, Yu Wang, Samuel Madden, Elke A. Rundensteiner:
AutoOD: Automatic Outlier Detection. Proc. ACM Manag. Data 1(1): 20:1-20:27 (2023) - [j107]Ziniu Wu, Parimarjan Negi, Mohammad Alizadeh, Tim Kraska, Samuel Madden:
FactorJoin: A New Cardinality Estimation Framework for Join Queries. Proc. ACM Manag. Data 1(1): 41:1-41:27 (2023) - [j106]Tianyu Li, Badrish Chandramouli, Sebastian Burckhardt, Samuel Madden:
DARQ Matter Binds Everything: Performant and Composable Cloud Programming via Resilient Steps. Proc. ACM Manag. Data 1(2): 117:1-117:27 (2023) - [j105]Zihui Gu, Ju Fan, Nan Tang, Lei Cao, Bowen Jia, Sam Madden, Xiaoyong Du:
Few-shot Text-to-SQL Translation using Structure and Content Prompt Learning. Proc. ACM Manag. Data 1(2): 147:1-147:28 (2023) - [j104]Matthew Perron, Raul Castro Fernandez, David J. DeWitt, Michael J. Cafarella, Samuel Madden:
Cackle: Analytical Workload Cost and Performance Stability With Elastic Pools. Proc. ACM Manag. Data 1(4): 233:1-233:25 (2023) - [j103]Oscar R. Moll, Manuel Favela, Samuel Madden, Vijay Gadepally, Michael J. Cafarella:
SeeSaw: Interactive Ad-hoc Search Over Image Databases. Proc. ACM Manag. Data 1(4): 260:1-260:26 (2023) - [j102]Parimarjan Negi, Ziniu Wu, Andreas Kipf, Nesime Tatbul, Ryan Marcus, Sam Madden, Tim Kraska, Mohammad Alizadeh:
Robust Query Driven Cardinality Estimation under Changing Workloads. Proc. VLDB Endow. 16(6): 1520-1533 (2023) - [j101]Ferdinand Kossmann, Ziniu Wu, Eugenie Lai, Nesime Tatbul, Lei Cao, Tim Kraska, Sam Madden:
Extract-Transform-Load for Video Streams. Proc. VLDB Endow. 16(9): 2302-2315 (2023) - [j100]Sivaprasad Sudhir, Wenbo Tao, Nikolay Pavlovich Laptev, Cyrille Habis, Michael J. Cafarella, Samuel Madden:
Pando: Enhanced Data Skipping with Logical Data Partitioning. Proc. VLDB Endow. 16(9): 2316-2329 (2023) - [j99]Tim Kraska, Tianyu Li, Samuel Madden, Markos Markakis, Amadou Ngom, Ziniu Wu, Geoffrey X. Yu:
Check Out the Big Brain on BRAD: Simplifying Cloud Data Processing with Learned Automated Data Meshes. Proc. VLDB Endow. 16(11): 3293-3301 (2023) - [j98]Zui Chen, Lei Cao, Sam Madden:
Lingua Manga: A Generic Large Language Model Centric System for Data Curation. Proc. VLDB Endow. 16(12): 4074-4077 (2023) - [c172]Zui Chen, Zihui Gu, Lei Cao, Ju Fan, Samuel Madden, Nan Tang:
Symphony: Towards Natural Language Query Answering over Multi-modal Data Lakes. CIDR 2023 - [c171]Gustavo Alonso, Natassa Ailamaki, Sailesh Krishnamurthy, Sam Madden, Swami Sivasubramanian, Raghu Ramakrishnan:
Future of Database System Architectures. SIGMOD Conference Companion 2023: 261-262 - [i63]Yu Wang, Lei Cao, Yizhou Yan, Samuel Madden:
Interpretable Outlier Summarization. CoRR abs/2303.06261 (2023) - [i62]Jiaming Liang, Lei Cao, Samuel Madden, Zachary G. Ives, Guoliang Li:
RITA: Group Attention is All You Need for Timeseries Analytics. CoRR abs/2306.01926 (2023) - [i61]Zihui Gu, Ju Fan, Nan Tang, Songyue Zhang, Yuxin Zhang, Zui Chen, Lei Cao, Guoliang Li, Sam Madden, Xiaoyong Du:
Interleaving Pre-Trained Language Models and Large Language Models for Zero-Shot NL2SQL Generation. CoRR abs/2306.08891 (2023) - [i60]Zui Chen, Lei Cao, Sam Madden:
RoTaR: Efficient Row-Based Table Representation Learning via Teacher-Student Training. CoRR abs/2306.11696 (2023) - [i59]Zui Chen, Lei Cao, Sam Madden:
Lingua Manga: A Generic Large Language Model Centric System for Data Curation. CoRR abs/2306.11702 (2023) - [i58]Zui Chen, Lei Cao, Sam Madden, Ju Fan, Nan Tang, Zihui Gu, Zeyuan Shang, Chunwei Liu, Michael J. Cafarella, Tim Kraska:
SEED: Simple, Efficient, and Effective Data Management via Large Language Models. CoRR abs/2310.00749 (2023) - [i57]Ferdinand Kossmann, Ziniu Wu, Eugenie Lai, Nesime Tatbul, Lei Cao, Tim Kraska, Samuel Madden:
Extract-Transform-Load for Video Streams. CoRR abs/2310.04830 (2023) - 2022
- [j97]Dennis M. Hofmann, Peter M. VanNostrand, Huayi Zhang, Yizhou Yan, Lei Cao, Samuel Madden, Elke A. Rundensteiner:
A Demonstration of AutoOD: A Self-tuning Anomaly Detection System. Proc. VLDB Endow. 15(12): 3706-3709 (2022) - [c170]Samuel Madden, Jialin Ding, Tim Kraska, Sivaprasad Sudhir, David E. Cohen, Timothy G. Mattson, Nesime Tatbul:
Self-Organizing Data Containers. CIDR 2022 - [c169]Tianyu Li, Badrish Chandramouli, Samuel Madden:
Performant Almost-Latch-Free Data Structures Using Epoch Protection. DaMoN 2022: 1:1-1:10 - [c168]Oscar R. Moll Thomae, Sam Madden, Vijay Gadepally:
Ad-hoc Searches on Image Databases. Poly/DMAH@VLDB 2022: 3-9 - [c167]Oscar R. Moll, Favyen Bastani, Sam Madden, Mike Stonebraker, Vijay Gadepally, Tim Kraska:
ExSample: Efficient Searches on Video Repositories through Adaptive Sampling. ICDE 2022: 2956-2968 - [c166]Oscar R. Moll, Favyen Bastani, Sam Madden, Mike Stonebraker, Vijay Gadepally, Tim Kraska:
ExSample: Efficient Searches on Video Repositories through Adaptive Sampling. ICDE 2022: 3065-3077 - [c165]Anil Shanbhag, Bobbi W. Yogatama, Xiangyao Yu, Samuel Madden:
Tile-based Lightweight Integer Compression in GPU. SIGMOD Conference 2022: 1390-1403 - [c164]Favyen Bastani, Samuel Madden:
OTIF: Efficient Tracker Pre-processing over Large Video Datasets. SIGMOD Conference 2022: 2091-2104 - [i56]Oscar R. Moll, Manuel Favela, Samuel Madden, Vijay Gadepally:
SeeSaw: interactive ad-hoc search over image databases. CoRR abs/2208.06497 (2022) - [i55]Ziniu Wu, Parimarjan Negi, Mohammad Alizadeh, Tim Kraska, Samuel Madden:
FactorJoin: A New Cardinality Estimation Framework for Join Queries. CoRR abs/2212.05526 (2022) - 2021
- [j96]Favyen Bastani, Songtao He, Satvat Jagwani, Edward Park, Sofiane Abbar, Mohammad Alizadeh, Hari Balakrishnan, Sanjay Chawla, Sam Madden, Mohammad Amin Sadeghi:
Inferring and improving street maps with data-driven automation. Commun. ACM 64(11): 109-117 (2021) - [j95]Yi Lu, Xiangyao Yu, Lei Cao, Samuel Madden:
Epoch-based Commit and Replication in Distributed OLTP Databases. Proc. VLDB Endow. 14(5): 743-756 (2021) - [j94]Nan Tang, Ju Fan, Fangyi Li, Jianhong Tu, Xiaoyong Du, Guoliang Li, Samuel Madden, Mourad Ouzzani:
RPT: Relational Pre-trained Transformer Is Almost All You Need towards Democratizing Data Preparation. Proc. VLDB Endow. 14(8): 1254-1261 (2021) - [j93]Huayi Zhang, Lei Cao, Samuel Madden, Elke A. Rundensteiner:
LANCET: Labeling Complex Data at Scale. Proc. VLDB Endow. 14(11): 2154-2166 (2021) - [j92]Lei Cao, Dongqing Xiao, Yizhou Yan, Samuel Madden, Guoliang Li:
ATLANTIC: Making Database Differentially Private and Faster with Accuracy Guarantee. Proc. VLDB Endow. 14(12): 2755-2758 (2021) - [j91]Sivaprasad Sudhir, Michael J. Cafarella, Samuel Madden:
Replicated Layout for In-Memory Database Systems. Proc. VLDB Endow. 15(4): 984-997 (2021) - [c163]Favyen Bastani, Songtao He, Satvat Jagwani, Mohammad Alizadeh, Hari Balakrishnan, Sanjay Chawla, Sam Madden, Mohammad Amin Sadeghi:
Updating Street Maps using Changes Detected in Satellite Imagery. SIGSPATIAL/GIS 2021: 53-56 - [c162]Favyen Bastani, Sam Madden:
Beyond Road Extraction: A Dataset for Map Update using Aerial Images. ICCV 2021: 11885-11894 - [c161]Songtao He, Mohammad Amin Sadeghi, Sanjay Chawla, Mohammad Alizadeh, Hari Balakrishnan, Samuel Madden:
Inferring high-resolution traffic accident risk maps based on satellite imagery and GPS trajectories. ICCV 2021: 11957-11965 - [c160]Huayi Zhang, Lei Cao, Peter M. VanNostrand, Samuel Madden, Elke A. Rundensteiner:
ELITE: Robust Deep Anomaly Detection with Meta Gradient. KDD 2021: 2174-2182 - [c159]Favyen Bastani, Songtao He, Samuel Madden:
Self-Supervised Multi-Object Tracking with Cross-input Consistency. NeurIPS 2021: 13695-13706 - [c158]Favyen Bastani, Songtao He, Ziwen Jiang, Osbert Bastani, Sam Madden:
SkyQuery: an aerial drone video sensing platform. Onward! 2021: 56-67 - [c157]Tianyu Li, Badrish Chandramouli, Jose M. Faleiro, Samuel Madden, Donald Kossmann:
Asynchronous Prefix Recoverability for Fast Distributed Stores. SIGMOD Conference 2021: 1090-1102 - [i54]Songtao He, Favyen Bastani, Mohammad Alizadeh, Hari Balakrishnan, Michael J. Cafarella, Tim Kraska, Sam Madden:
TagMe: GPS-Assisted Automatic Object Annotation in Videos. CoRR abs/2103.13428 (2021) - [i53]Favyen Bastani, Sam Madden:
MultiScope: Efficient Video Pre-processing for Exploratory Video Analytics. CoRR abs/2103.14695 (2021) - [i52]Favyen Bastani, Songtao He, Ziwen Jiang, Osbert Bastani, Michael J. Cafarella, Tim Kraska, Sam Madden:
SkyQuery: An Aerial Drone Video Sensing Platform. CoRR abs/2103.14699 (2021) - [i51]Favyen Bastani, Sam Madden:
Beyond Road Extraction: A Dataset for Map Update using Aerial Images. CoRR abs/2110.04690 (2021) - [i50]Favyen Bastani, Songtao He, Satvat Jagwani, Mohammad Alizadeh, Hari Balakrishnan, Sanjay Chawla, Sam Madden, Mohammad Amin Sadeghi:
Updating Street Maps using Changes Detected in Satellite Imagery. CoRR abs/2110.06456 (2021) - [i49]Favyen Bastani, Songtao He, Sam Madden:
Self-Supervised Multi-Object Tracking with Cross-Input Consistency. CoRR abs/2111.05943 (2021) - 2020
- [j90]John K. Feser, Sam Madden, Nan Tang, Armando Solar-Lezama:
Deductive optimization of relational data storage. Proc. ACM Program. Lang. 4(OOPSLA): 170:1-170:30 (2020) - [j89]Yi Lu, Xiangyao Yu, Lei Cao, Samuel Madden:
Aria: A Fast and Practical Deterministic OLTP Database. Proc. VLDB Endow. 13(11): 2047-2060 (2020) - [j88]Favyen Bastani, Oscar R. Moll, Samuel Madden:
Vaas: Video Analytics At Scale. Proc. VLDB Endow. 13(12): 2877-2880 (2020) - [j87]El Kindi Rezig, Ashrita Brahmaroutu, Nesime Tatbul, Mourad Ouzzani, Nan Tang, Timothy G. Mattson, Samuel Madden, Michael Stonebraker:
Debugging Large-Scale Data Science Pipelines using Dagger. Proc. VLDB Endow. 13(12): 2993-2996 (2020) - [j86]Johan Wahlström, Isaac Skog, Peter Händel, Bill Bradley, Samuel Madden, Hari Balakrishnan:
Smartphone Placement Within Vehicles. IEEE Trans. Intell. Transp. Syst. 21(2): 669-679 (2020) - [c156]Songtao He, Favyen Bastani, Satvat Jagwani, Edward Park, Sofiane Abbar, Mohammad Alizadeh, Hari Balakrishnan, Sanjay Chawla, Samuel Madden, Mohammad Amin Sadeghi:
RoadTagger: Robust Road Attribute Inference with Graph Neural Networks. AAAI 2020: 10965-10972 - [c155]El Kindi Rezig, Lei Cao, Giovanni Simonini, Maxime Schoemans, Samuel Madden, Nan Tang, Mourad Ouzzani, Michael Stonebraker:
Dagger: A Data (not code) Debugger. CIDR 2020 - [c154]Anil Shanbhag, Nesime Tatbul, David E. Cohen, Samuel Madden:
Large-scale in-memory analytics on Intel® Optane™ DC persistent memory. DaMoN 2020: 4:1-4:8 - [c153]Songtao He, Favyen Bastani, Satvat Jagwani, Mohammad Alizadeh, Hari Balakrishnan, Sanjay Chawla, Mohamed M. Elshrif, Samuel Madden, Mohammad Amin Sadeghi:
Sat2Graph: Road Graph Extraction Through Graph-Tensor Encoding. ECCV (24) 2020: 51-67 - [c152]Joana M. F. da Trindade, Konstantinos Karanasos, Carlo Curino, Samuel Madden, Julian Shun:
Kaskade: Graph Views for Efficient Graph Analytics. ICDE 2020: 193-204 - [c151]Songtao He, Favyen Bastani, Arjun Balasingam, Karthik Gopalakrishnan, Ziwen Jiang, Mohammad Alizadeh, Hari Balakrishnan, Michael J. Cafarella, Tim Kraska, Sam Madden:
BeeCluster: drone orchestration via predictive optimization. MobiSys 2020: 299-311 - [c150]Chengliang Chai, Lei Cao, Guoliang Li, Jian Li, Yuyu Luo, Samuel Madden:
Human-in-the-loop Outlier Detection. SIGMOD Conference 2020: 19-33 - [c149]Matthew Perron, Raul Castro Fernandez, David J. DeWitt, Samuel Madden:
Starling: A Scalable Query Engine on Cloud Functions. SIGMOD Conference 2020: 131-141 - [c148]Anil Shanbhag, Samuel Madden, Xiangyao Yu:
A Study of the Fundamental Performance Characteristics of GPUs and CPUs for Database Analytics. SIGMOD Conference 2020: 1617-1632 - [c147]Favyen Bastani, Songtao He, Arjun Balasingam, Karthik Gopalakrishnan, Mohammad Alizadeh, Hari Balakrishnan, Michael J. Cafarella, Tim Kraska, Sam Madden:
MIRIS: Fast Object Track Queries in Video. SIGMOD Conference 2020: 1907-1921 - [c146]Huayi Zhang, Lei Cao, Yizhou Yan, Samuel Madden, Elke A. Rundensteiner:
Continuously Adaptive Similarity Search. SIGMOD Conference 2020: 2601-2616 - [i48]Albert Kim, Atalay Mert Ileri, Sam Madden:
Optimizing Query Predicates with Disjunctions for Column Stores. CoRR abs/2002.00540 (2020) - [i47]Anil Shanbhag, Samuel Madden, Xiangyao Yu:
A Study of the Fundamental Performance Characteristics of GPUs and CPUs for Database Analytics (Extended Version). CoRR abs/2003.01178 (2020) - [i46]Alana Marzoev, Samuel Madden, M. Frans Kaashoek, Michael J. Cafarella, Jacob Andreas:
Unnatural Language Processing: Bridging the Gap Between Synthetic and Natural Language Data. CoRR abs/2004.13645 (2020) - [i45]Oscar R. Moll, Favyen Bastani, Sam Madden, Mike Stonebraker, Vijay Gadepally, Tim Kraska:
ExSample: Efficient Searches on Video Repositories through Adaptive Sampling. CoRR abs/2005.09141 (2020) - [i44]Songtao He, Favyen Bastani, Satvat Jagwani, Mohammad Alizadeh, Hari Balakrishnan, Sanjay Chawla, Mohamed M. Elshrif, Samuel Madden, Mohammad Amin Sadeghi:
Sat2Graph: Road Graph Extraction through Graph-Tensor Encoding. CoRR abs/2007.09547 (2020) - [i43]Nan Tang, Ju Fan, Fangyi Li, Jianhong Tu, Xiaoyong Du, Guoliang Li, Sam Madden, Mourad Ouzzani:
Relational Pretrained Transformers towards Democratizing Data Preparation [Vision]. CoRR abs/2012.02469 (2020)
2010 – 2019
- 2019
- [j85]Lei Cao, Yizhou Yan, Samuel Madden, Elke A. Rundensteiner, Mathan Gopalsamy:
Efficient Discovery of Sequence Outlier Patterns. Proc. VLDB Endow. 12(8): 920-932 (2019) - [j84]Yi Lu, Xiangyao Yu, Samuel Madden:
STAR: Scaling Transactions through Asymmetric Replication. Proc. VLDB Endow. 12(11): 1316-1329 (2019) - [j83]El Kindi Rezig, Lei Cao, Michael Stonebraker, Giovanni Simonini, Wenbo Tao, Samuel Madden, Mourad Ouzzani, Nan Tang, Ahmed K. Elmagarmid:
Data Civilizer 2.0: A Holistic Framework for Data Preparation and Analytics. Proc. VLDB Endow. 12(12): 1954-1957 (2019) - [j82]Lei Cao, Wenbo Tao, Sungtae An, Jing Jin, Yizhou Yan, Xiaoyu Liu, Wendong Ge, Adam Sah, Leilani Battle, Jimeng Sun, Remco Chang, M. Brandon Westover, Samuel Madden, Michael Stonebraker:
Smile: A System to Support Machine Learning on EEG Data at Scale. Proc. VLDB Endow. 12(12): 2230-2241 (2019) - [c145]Tim Kraska, Mohammad Alizadeh, Alex Beutel, Ed H. Chi, Ani Kristo, Guillaume Leclerc, Samuel Madden, Hongzi Mao, Vikram Nathan:
SageDB: A Learned Database System. CIDR 2019 - [c144]Xiao Qin, Lei Cao, Elke A. Rundensteiner, Samuel Madden:
Scalable Kernel Density Estimation-based Local Outlier Detection over Large Data Streams. EDBT 2019: 421-432 - [c143]Alana Marzoev, Lara Timbó Araújo, Malte Schwarzkopf, Samyukta Yagati, Eddie Kohler, Robert Tappan Morris, M. Frans Kaashoek, Sam Madden:
Towards Multiverse Databases. HotOS 2019: 88-95 - [c142]Dong Deng, Wenbo Tao, Ziawasch Abedjan, Ahmed K. Elmagarmid, Ihab F. Ilyas, Guoliang Li, Samuel Madden, Mourad Ouzzani, Michael Stonebraker, Nan Tang:
Unsupervised String Transformation Learning for Entity Consolidation. ICDE 2019: 196-207 - [c141]Raul Castro Fernandez, Jisoo Min, Demitri Nava, Samuel Madden:
Lazo: A Cardinality-Based Method for Coupled Estimation of Jaccard Similarity and Containment. ICDE 2019: 1190-1201 - [c140]Raul Castro Fernandez, Samuel Madden:
Termite: a system for tunneling through heterogeneous data. aiDM@SIGMOD 2019: 7:1-7:8 - [c139]Mohammad Mahdavi, Ziawasch Abedjan, Raul Castro Fernandez, Samuel Madden, Mourad Ouzzani, Michael Stonebraker, Nan Tang:
Raha: A Configuration-Free Error Detection System. SIGMOD Conference 2019: 865-882 - [p9]Samuel Madden:
Make it happen: the life of Michael Stonebraker. Making Databases Work 2019: 39-56 - [p8]Samuel Madden:
Research contributions of Mike Stonebraker: an overview. Making Databases Work 2019: 181-189 - [p7]Stavros Harizopoulos, Daniel J. Abadi, Samuel Madden, Michael Stonebraker:
OLTP through the looking glass, and what we found there. Making Databases Work 2019: 409-439 - [p6]Michael Stonebraker, Samuel Madden, Daniel J. Abadi, Stavros Harizopoulos, Nabil Hachem, Pat Helland:
The end of an architectural era: it's time for a complete rewrite. Making Databases Work 2019: 463-489 - [p5]Mike Stonebraker, Daniel J. Abadi, Adam Batkin, Xuedong Chen, Mitch Cherniack, Miguel Ferreira, Edmond Lau, Amerson Lin, Sam Madden, Elizabeth J. O'Neil, Patrick E. O'Neil, Alex Rasin, Nga Tran, Stan Zdonik:
C-store: a column-oriented DBMS. Making Databases Work 2019: 491-518 - [i42]Yi Lu, Xiangyao Yu, Samuel Madden:
SCAR: Strong Consistency using Asynchronous Replication with Minimal Coordination. CoRR abs/1903.00424 (2019) - [i41]John K. Feser, Samuel Madden, Nan Tang, Armando Solar-Lezama:
Deductive Optimization of Relational Data Storage. CoRR abs/1903.03229 (2019) - [i40]Raul Castro Fernandez, Samuel Madden:
Termite: A System for Tunneling Through Heterogeneous Data. CoRR abs/1903.05008 (2019) - [i39]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 Randall 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) - [i38]Joana M. F. da Trindade, Konstantinos Karanasos, Carlo Curino, Samuel Madden, Julian Shun:
Kaskade: Graph Views for Efficient Graph Analytics. CoRR abs/1906.05162 (2019) - [i37]Ji Sun, Dong Deng, Ihab F. Ilyas, Guoliang Li, Samuel Madden, Mourad Ouzzani, Michael Stonebraker, Nan Tang:
Technical Report: Optimizing Human Involvement for Entity Matching and Consolidation. CoRR abs/1906.06574 (2019) - [i36]Favyen Bastani, Songtao He, Sofiane Abbar, Mohammad Alizadeh, Hari Balakrishnan, Sanjay Chawla, Sam Madden:
Machine-Assisted Map Editing. CoRR abs/1906.07138 (2019) - [i35]Favyen Bastani, Songtao He, Satvat Jagwani, Edward Park, Sofiane Abbar, Mohammad Alizadeh, Hari Balakrishnan, Sanjay Chawla, Sam Madden, Mohammad Amin Sadeghi:
Inferring and Improving Street Maps with Data-Driven Automation. CoRR abs/1910.04869 (2019) - [i34]Matthew Perron, Raul Castro Fernandez, David J. DeWitt, Samuel Madden:
Starling: A Scalable Query Engine on Cloud Function Services. CoRR abs/1911.11727 (2019) - [i33]Raul Castro Fernandez, Nan Tang, Mourad Ouzzani, Michael Stonebraker, Samuel Madden:
Dataset-On-Demand: Automatic View Search and Presentation for Data Discovery. CoRR abs/1911.11876 (2019) - [i32]Songtao He, Favyen Bastani, Satvat Jagwani, Edward Park, Sofiane Abbar, Mohammad Alizadeh, Hari Balakrishnan, Sanjay Chawla, Samuel Madden, Mohammad Amin Sadeghi:
RoadTagger: Robust Road Attribute Inference with Graph Neural Networks. CoRR abs/1912.12408 (2019) - 2018
- [j81]Manasi Vartak, Samuel Madden:
MODELDB: Opportunities and Challenges in Managing Machine Learning Models. IEEE Data Eng. Bull. 41(4): 16-25 (2018) - [j80]