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ORCIDSuresh Venkatasubramanian
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- affiliation: Brown University, Providence, RI, USA
- affiliation: University of Utah, School of Computing, Salt Lake City, UT, USA
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2020 – today
- 2024
[c92]Cyrus Cousins, I. Elizabeth Kumar, Suresh Venkatasubramanian:
To Pool or Not To Pool: Analyzing the Regularizing Effects of Group-Fair Training on Shared Models. AISTATS 2024: 4573-4581- [c91]Pegah Nokhiz, Aravinda Kanchana Ruwanpathirana, Neal Patwari, Suresh Venkatasubramanian:
Agent-Based Simulation of Decision-Making Under Uncertainty to Study Financial Precarity. PKDD (4) 2024: 43-56 - [i55]Rui-Jie Yew, Lucy Qin, Suresh Venkatasubramanian:
You Still See Me: How Data Protection Supports the Architecture of ML Surveillance. CoRR abs/2402.06609 (2024) - [i54]Cyrus Cousins, I. Elizabeth Kumar, Suresh Venkatasubramanian:
To Pool or Not To Pool: Analyzing the Regularizing Effects of Group-Fair Training on Shared Models. CoRR abs/2402.18803 (2024) - [i53]Suresh Venkatasubramanian, Timnit Gebru, Ufuk Topcu, Haley Griffin, Leah Namisa Rosenbloom, Nasim Sonboli:
Community Driven Approaches to Research in Technology & Society CCC Workshop Report. CoRR abs/2406.07556 (2024) - [i52]Alex Oesterling, Usha Bhalla, Suresh Venkatasubramanian, Himabindu Lakkaraju:
Operationalizing the Blueprint for an AI Bill of Rights: Recommendations for Practitioners, Researchers, and Policy Makers. CoRR abs/2407.08689 (2024) - [i51]Kweku Kwegyir-Aggrey, Naveen Durvasula, Jennifer Wang, Suresh Venkatasubramanian:
Observing Context Improves Disparity Estimation when Race is Unobserved. CoRR abs/2409.01984 (2024) - 2023
- [c90]Mohsen Abbasi
, Calvin Barrett, Kristian Lum, Sorelle A. Friedler, Suresh Venkatasubramanian:
Measuring and mitigating voting access disparities: a study of race and polling locations in Florida and North Carolina. FAccT 2023: 1038-1048 - [c89]Kweku Kwegyir-Aggrey, Marissa Gerchick, Malika Mohan, Aaron Horowitz, Suresh Venkatasubramanian:
The Misuse of AUC: What High Impact Risk Assessment Gets Wrong. FAccT 2023: 1570-1583 - [c88]Ashkan Bashardoust, Sorelle A. Friedler, Carlos Scheidegger, Blair D. Sullivan, Suresh Venkatasubramanian:
Reducing Access Disparities in Networks using Edge Augmentation✱. FAccT 2023: 1635-1651 - [c87]Noelle Brown, Koriann South, Suresh Venkatasubramanian, Eliane Stampfer Wiese:
Designing Ethically-Integrated Assignments: It's Harder Than it Looks. ICER (1) 2023: 177-190 - [i50]Kweku Kwegyir-Aggrey, Marissa Gerchick, Malika Mohan, Aaron Horowitz, Suresh Venkatasubramanian:
The Misuse of AUC: What High Impact Risk Assessment Gets Wrong. CoRR abs/2305.18159 (2023) - 2022
- [c86]Lydia Reader, Pegah Nokhiz, Cathleen Power, Neal Patwari, Suresh Venkatasubramanian, Sorelle A. Friedler:
Models for understanding and quantifying feedback in societal systems. FAccT 2022: 1765-1775 - [c85]Kathi Fisler, Sorelle A. Friedler, Kevin Lin, Suresh Venkatasubramanian:
Approaches for Weaving Responsible Computing into Data Structures and Algorithms Courses. SIGCSE (2) 2022: 1049-1050 - [i49]Mohsen Abbasi, Suresh Venkatasubramanian, Sorelle A. Friedler, Kristian Lum, Calvin Barrett:
Measuring and mitigating voting access disparities: a study of race and polling locations in Florida and North Carolina. CoRR abs/2205.14867 (2022) - [i48]Ashkan Bashardoust, Sorelle A. Friedler, Carlos Eduardo Scheidegger, Blair D. Sullivan, Suresh Venkatasubramanian:
Reducing Access Disparities in Networks using Edge Augmentation. CoRR abs/2209.07616 (2022) - 2021
- [j29]Sorelle A. Friedler, Carlos Scheidegger, Suresh Venkatasubramanian:
The (Im)possibility of fairness: different value systems require different mechanisms for fair decision making. Commun. ACM 64(4): 136-143 (2021) - [c84]Pegah Nokhiz, Aravinda Kanchana Ruwanpathirana, Neal Patwari, Suresh Venkatasubramanian:
Precarity: Modeling the Long Term Effects of Compounded Decisions on Individual Instability. AIES 2021: 199-208 - [c83]Mohsen Abbasi, Aditya Bhaskara, Suresh Venkatasubramanian:
Fair Clustering via Equitable Group Representations. FAccT 2021: 504-514 - [c82]Suresh Venkatasubramanian, Carlos Scheidegger, Sorelle A. Friedler, Aaron Clauset:
Fairness in Networks: Social Capital, Information Access, and Interventions. KDD 2021: 4078-4079 - [c81]Michelle Bao, Angela Zhou, Samantha Zottola, Brian Brubach, Sarah Desmarais, Aaron Horowitz, Kristian Lum, Suresh Venkatasubramanian:
It's COMPASlicated: The Messy Relationship between RAI Datasets and Algorithmic Fairness Benchmarks. NeurIPS Datasets and Benchmarks 2021 - [c80]Indra Kumar, Carlos Scheidegger, Suresh Venkatasubramanian, Sorelle A. Friedler:
Shapley Residuals: Quantifying the limits of the Shapley value for explanations. NeurIPS 2021: 26598-26608 - [i47]Nadya Bliss, Lawrence A. Gordon, Daniel Lopresti, Fred Schneider, Suresh Venkatasubramanian:
A Research Ecosystem for Secure Computing. CoRR abs/2101.01264 (2021) - [i46]Pegah Nokhiz, Aravinda Kanchana Ruwanpathirana, Neal Patwari, Suresh Venkatasubramanian:
Precarity: Modeling the Long Term Effects of Compounded Decisions on Individual Instability. CoRR abs/2104.12037 (2021) - [i45]Michelle Bao, Angela Zhou, Samantha Zottola, Brian Brubach, Sarah Desmarais, Aaron Horowitz, Kristian Lum, Suresh Venkatasubramanian:
It's COMPASlicated: The Messy Relationship between RAI Datasets and Algorithmic Fairness Benchmarks. CoRR abs/2106.05498 (2021) - 2020
- [j28]Danielle Ensign, Scott Neville, Arnab Paul, Suresh Venkatasubramanian:
The complexity of explaining neural networks through (group) invariants. Theor. Comput. Sci. 808: 74-85 (2020) - [c79]Suresh Venkatasubramanian, Mark Alfano:
The philosophical basis of algorithmic recourse. FAT* 2020: 284-293 - [c78]I. Elizabeth Kumar, Suresh Venkatasubramanian, Carlos Scheidegger, Sorelle A. Friedler:
Problems with Shapley-value-based explanations as feature importance measures. ICML 2020: 5491-5500 - [i44]I. Elizabeth Kumar, Suresh Venkatasubramanian, Carlos Scheidegger, Sorelle A. Friedler:
Problems with Shapley-value-based explanations as feature importance measures. CoRR abs/2002.11097 (2020) - [i43]Mohsen Abbasi, Aditya Bhaskara, Suresh Venkatasubramanian:
Fair clustering via equitable group representations. CoRR abs/2006.11009 (2020) - [i42]Benjamin Zorn, Tom Conte, Keith Marzullo, Suresh Venkatasubramanian:
Evolving Methods for Evaluating and Disseminating Computing Research. CoRR abs/2007.01242 (2020) - [i41]Hannah C. Beilinson, Nasanbayar Ulzii-Orshikh, Ashkan Bashardoust, Sorelle A. Friedler, Carlos Eduardo Scheidegger, Suresh Venkatasubramanian:
Clustering via Information Access in a Network. CoRR abs/2010.12611 (2020) - [i40]Suresh Venkatasubramanian, Nadya Bliss, Helen Nissenbaum, Melanie Moses:
Interdisciplinary Approaches to Understanding Artificial Intelligence's Impact on Society. CoRR abs/2012.06057 (2020)
2010 – 2019
- 2019
- [j27]Amit Chakrabarti, Graham Cormode, Andrew McGregor, Justin Thaler, Suresh Venkatasubramanian:
Verifiable Stream Computation and Arthur-Merlin Communication. SIAM J. Comput. 48(4): 1265-1299 (2019) - [c77]Andrew D. Selbst, danah boyd, Sorelle A. Friedler, Suresh Venkatasubramanian, Janet Vertesi:
Fairness and Abstraction in Sociotechnical Systems. FAT 2019: 59-68 - [c76]Sorelle A. Friedler, Carlos Scheidegger, Suresh Venkatasubramanian, Sonam Choudhary, Evan P. Hamilton, Derek Roth:
A comparative study of fairness-enhancing interventions in machine learning. FAT 2019: 329-338 - [c75]Charles T. Marx, Richard L. Phillips, Sorelle A. Friedler, Carlos Scheidegger, Suresh Venkatasubramanian:
Disentangling Influence: Using disentangled representations to audit model predictions. NeurIPS 2019: 4498-4508 - [c74]Suresh Venkatasubramanian:
Algorithmic Fairness: Measures, Methods and Representations. PODS 2019: 481 - [c73]Mohsen Abbasi, Sorelle A. Friedler, Carlos Scheidegger, Suresh Venkatasubramanian:
Fairness in representation: quantifying stereotyping as a representational harm. SDM 2019: 801-809 - [c72]Benjamin Fish, Ashkan Bashardoust, danah boyd, Sorelle A. Friedler, Carlos Scheidegger, Suresh Venkatasubramanian:
Gaps in Information Access in Social Networks? WWW 2019: 480-490 - [i39]Mohsen Abbasi, Sorelle A. Friedler, Carlos Scheidegger, Suresh Venkatasubramanian:
Fairness in representation: quantifying stereotyping as a representational harm. CoRR abs/1901.09565 (2019) - [i38]Benjamin Fish, Ashkan Bashardoust, danah boyd, Sorelle A. Friedler, Carlos Scheidegger, Suresh Venkatasubramanian:
Gaps in Information Access in Social Networks. CoRR abs/1903.02047 (2019) - [i37]Charles T. Marx, Richard Lanas Phillips, Sorelle A. Friedler, Carlos Scheidegger, Suresh Venkatasubramanian:
Disentangling Influence: Using Disentangled Representations to Audit Model Predictions. CoRR abs/1906.08652 (2019) - [i36]Vivek Gupta, Pegah Nokhiz, Chitradeep Dutta Roy, Suresh Venkatasubramanian:
Equalizing Recourse across Groups. CoRR abs/1909.03166 (2019) - 2018
- [j26]Philip Adler, Casey Falk, Sorelle A. Friedler, Tionney Nix, Gabriel Rybeck, Carlos Scheidegger, Brandon Smith, Suresh Venkatasubramanian:
Auditing black-box models for indirect influence. Knowl. Inf. Syst. 54(1): 95-122 (2018) - [c71]Danielle Ensign, Sorelle A. Friedler, Scott Neville, Carlos Eduardo Scheidegger, Suresh Venkatasubramanian:
Decision making with limited feedback. ALT 2018: 359-367 - [c70]Danielle Ensign, Sorelle A. Friedler, Scott Neville, Carlos Scheidegger, Suresh Venkatasubramanian:
Runaway Feedback Loops in Predictive Policing. FAT 2018: 160-171 - [c69]Aditya Bhaskara, Samira Daruki, Suresh Venkatasubramanian:
Sublinear Algorithms for MAXCUT and Correlation Clustering. ICALP 2018: 16:1-16:14 - [e3]Rasmus Pagh, Suresh Venkatasubramanian:
Proceedings of the Twentieth Workshop on Algorithm Engineering and Experiments, ALENEX 2018, New Orleans, LA, USA, January 7-8, 2018. SIAM 2018, ISBN 978-1-61197-505-5 [contents] - [r2]Suresh Venkatasubramanian:
Clustering on Streams. Encyclopedia of Database Systems (2nd ed.) 2018 - [i35]Sorelle A. Friedler, Carlos Scheidegger, Suresh Venkatasubramanian, Sonam Choudhary, Evan P. Hamilton, Derek Roth:
A comparative study of fairness-enhancing interventions in machine learning. CoRR abs/1802.04422 (2018) - [i34]Aditya Bhaskara, Samira Daruki, Suresh Venkatasubramanian:
Sublinear Algorithms for MAXCUT and Correlation Clustering. CoRR abs/1802.06992 (2018) - 2017
- [c68]Danielle Ensign, Scott Neville, Arnab Paul, Suresh Venkatasubramanian:
The Complexity of Explaining Neural Networks Through (group) Invariants. ALT 2017: 341-359 - [c67]Suresh Venkatasubramanian:
Computational Philosophy: On Fairness in Automated Decision Making. ISAAC 2017: 2:1-2:1 - [i33]Danielle Ensign, Sorelle A. Friedler, Scott Neville, Carlos Eduardo Scheidegger, Suresh Venkatasubramanian:
Runaway Feedback Loops in Predictive Policing. CoRR abs/1706.09847 (2017) - [i32]Amanda Bower, Sarah N. Kitchen, Laura Niss, Martin J. Strauss, Alexander Vargas, Suresh Venkatasubramanian:
Fair Pipelines. CoRR abs/1707.00391 (2017) - 2016
- [c66]Amirali Abdullah, Ravi Kumar, Andrew McGregor, Sergei Vassilvitskii, Suresh Venkatasubramanian:
Sketching, Embedding and Dimensionality Reduction in Information Theoretic Spaces. AISTATS 2016: 948-956 - [c65]Philip Adler, Casey Falk, Sorelle A. Friedler, Gabriel Rybeck, Carlos Scheidegger, Brandon Smith, Suresh Venkatasubramanian:
Auditing Black-Box Models for Indirect Influence. ICDM 2016: 1-10 - [c64]Amirali Abdullah, Samira Daruki, Chitradeep Dutta Roy, Suresh Venkatasubramanian:
Streaming Verification of Graph Properties. ISAAC 2016: 3:1-3:14 - [c63]John Moeller, Vivek Srikumar, Sarathkrishna Swaminathan, Suresh Venkatasubramanian, Dustin Webb:
Continuous Kernel Learning. ECML/PKDD (2) 2016: 657-673 - [c62]John Moeller, Sarathkrishna Swaminathan, Suresh Venkatasubramanian:
A Unified View of Localized Kernel Learning. SDM 2016: 252-260 - [i31]Philip Adler, Casey Falk, Sorelle A. Friedler, Gabriel Rybeck, Carlos Scheidegger, Brandon Smith, Suresh Venkatasubramanian:
Auditing Black-box Models by Obscuring Features. CoRR abs/1602.07043 (2016) - [i30]Amirali Abdullah, Samira Daruki, Chitradeep Dutta Roy, Suresh Venkatasubramanian:
Streaming Verification of Graph Properties. CoRR abs/1602.08162 (2016) - [i29]John Moeller, Sarathkrishna Swaminathan, Suresh Venkatasubramanian:
A Unified View of Localized Kernel Learning. CoRR abs/1603.01374 (2016) - [i28]Sorelle A. Friedler, Carlos Scheidegger, Suresh Venkatasubramanian:
On the (im)possibility of fairness. CoRR abs/1609.07236 (2016) - 2015
- [c61]Amit Chakrabarti, Graham Cormode, Andrew McGregor, Justin Thaler, Suresh Venkatasubramanian:
Verifiable Stream Computation and Arthur-Merlin Communication. CCC 2015: 217-243 - [c60]Peter Hillyard, Neal Patwari, Samira Daruki, Suresh Venkatasubramanian:
You're crossing the line: Localizing border crossings using wireless RF links. SP/SPE 2015: 249-254 - [c59]Samira Daruki, Justin Thaler, Suresh Venkatasubramanian:
Streaming Verification in Data Analysis. ISAAC 2015: 715-726 - [c58]Michael Feldman, Sorelle A. Friedler, John Moeller, Carlos Scheidegger, Suresh Venkatasubramanian:
Certifying and Removing Disparate Impact. KDD 2015: 259-268 - [c57]Amirali Abdullah, Suresh Venkatasubramanian:
A Directed Isoperimetric Inequality with application to Bregman Near Neighbor Lower Bounds. STOC 2015: 509-518 - [c56]Arnab Paul, Suresh Venkatasubramanian:
A Group Theoretic Perspective on Unsupervised Deep Learning. ICLR (Workshop) 2015 - [e2]Suresh Venkatasubramanian, Jieping Ye:
Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30 - May 2, 2015. SIAM 2015, ISBN 978-1-61197-401-0 [contents] - [i27]Amirali Abdullah, Ravi Kumar, Andrew McGregor, Sergei Vassilvitskii, Suresh Venkatasubramanian:
Sketching, Embedding, and Dimensionality Reduction for Information Spaces. CoRR abs/1503.05225 (2015) - [i26]Samira Daruki, Justin Thaler, Suresh Venkatasubramanian:
Streaming Verification in Data Analysis. CoRR abs/1509.05514 (2015) - 2014
- [j25]Maurizio Bocca, Ossi Kaltiokallio, Neal Patwari, Suresh Venkatasubramanian:
Multiple Target Tracking with RF Sensor Networks. IEEE Trans. Mob. Comput. 13(8): 1787-1800 (2014) - [c55]John Moeller, Parasaran Raman, Suresh Venkatasubramanian, Avishek Saha:
A Geometric Algorithm for Scalable Multiple Kernel Learning. AISTATS 2014: 633-642 - [i25]Amirali Abdullah, Suresh Venkatasubramanian:
A directed isoperimetric inequality with application to Bregman near neighbor lower bounds. CoRR abs/1404.1191 (2014) - [i24]Sorelle A. Friedler, Carlos Scheidegger, Suresh Venkatasubramanian:
Certifying and removing disparate impact. CoRR abs/1412.3756 (2014) - [i23]Arnab Paul, Suresh Venkatasubramanian:
Why does Deep Learning work? - A perspective from Group Theory. CoRR abs/1412.6621 (2014) - [i22]Amit Chakrabarti, Graham Cormode, Andrew McGregor, Justin Thaler, Suresh Venkatasubramanian:
Verifiable Stream Computation and Arthur-Merlin Communication. Electron. Colloquium Comput. Complex. TR14 (2014) - 2013
- [j24]Suresh Venkatasubramanian:
The many stages of writing a paper, and how to close the deal. XRDS 20(2): 17 (2013) - [j23]Amirali Abdullah, John Moeller, Suresh Venkatasubramanian:
Approximate Bregman Near Neighbors in Sublinear Time: beyond the Triangle inequality. Int. J. Comput. Geom. Appl. 23(4-5): 253-302 (2013) - [j22]Suresh Venkatasubramanian:
Computational geometry column 55: new developments in nonnegative matrix factorization. SIGACT News 44(1): 70-78 (2013) - [j21]Suresh Venkatasubramanian:
Moving heaven and earth: distances between distributions. SIGACT News 44(3): 56-68 (2013) - [j20]Amit Goyal, Francesco Bonchi, Laks V. S. Lakshmanan, Suresh Venkatasubramanian:
On minimizing budget and time in influence propagation over social networks. Soc. Netw. Anal. Min. 3(2): 179-192 (2013) - [c54]Parinya Chalermsook, Suresh Venkatasubramanian:
Clustering With Center Constraints. FSTTCS 2013: 401-412 - [c53]Peter Hillyard, Samira Daruki, Neal Patwari, Suresh Venkatasubramanian:
Track estimation using link line crossing information in wireless networks. GlobalSIP 2013: 1037-1040 - [c52]Parasaran Raman, Suresh Venkatasubramanian:
Power to the Points: Validating Data Memberships in Clusterings. ICDM 2013: 617-626 - [c51]Yang Zhao, Neal Patwari, Jeff M. Phillips, Suresh Venkatasubramanian:
Radio tomographic imaging and tracking of stationary and moving people via kernel distance. IPSN 2013: 229-240 - [i21]Maurizio Bocca, Ossi Kaltiokallio, Neal Patwari, Suresh Venkatasubramanian:
Multiple Target Tracking with RF Sensor Networks. CoRR abs/1302.4720 (2013) - [i20]Parasaran Raman, Suresh Venkatasubramanian:
Power to the Points: Validating Data Memberships in Clusterings. CoRR abs/1305.4757 (2013) - [i19]Mary W. Hall, Robert M. Kirby, Feifei Li, Miriah D. Meyer, Valerio Pascucci, Jeff M. Phillips, Robert Ricci, Jacobus E. van der Merwe, Suresh Venkatasubramanian:
Rethinking Abstractions for Big Data: Why, Where, How, and What. CoRR abs/1306.3295 (2013) - [i18]Amit Chakrabarti, Graham Cormode, Andrew McGregor, Justin Thaler, Suresh Venkatasubramanian:
On Interactivity in Arthur-Merlin Communication and Stream Computation. Electron. Colloquium Comput. Complex. TR13 (2013) - 2012
- [c50]Hal Daumé III, Jeff M. Phillips, Avishek Saha, Suresh Venkatasubramanian:
Efficient Protocols for Distributed Classification and Optimization. ALT 2012: 154-168 - [c49]Amirali Abdullah, John Moeller, Suresh Venkatasubramanian:
Approximate bregman near neighbors in sublinear time: beyond the triangle inequality. SCG 2012: 31-40 - [c48]Arvind Agarwal, Hal Daumé III, Jeff M. Phillips, Suresh Venkatasubramanian:
Sensor Network Localization for Moving Sensors. ICDM Workshops 2012: 202-209 - [c47]Hal Daumé III, Jeff M. Phillips, Avishek Saha, Suresh Venkatasubramanian:
Protocols for Learning Classifiers on Distributed Data. AISTATS 2012: 282-290 - [e1]Emmanuel Müller, Thomas Seidl, Suresh Venkatasubramanian, Arthur Zimek:
3rd MultiClust Workshop: Discovering, Summarizing and Using Multiple Clusterings, MultiClust '12, in conjunction with SDM 2012, Anaheim, CA, USA, April 28, 2012, Anaheim, CA, USA, April 28, 2012. SIAM 2012 [contents] - [i17]Hal Daumé III, Jeff M. Phillips, Avishek Saha, Suresh Venkatasubramanian:
Protocols for Learning Classifiers on Distributed Data. CoRR abs/1202.6078 (2012) - [i16]Hal Daumé III, Jeff M. Phillips, Avishek Saha, Suresh Venkatasubramanian:
Efficient Protocols for Distributed Classification and Optimization. CoRR abs/1204.3523 (2012) - [i15]John Moeller, Parasaran Raman, Avishek Saha, Suresh Venkatasubramanian:
Fast Multiple Kernel Learning With Multiplicative Weight Updates. CoRR abs/1206.5580 (2012) - 2011
- [c46]Suresh Venkatasubramanian, Qiushi Wang:
The Johnson-Lindenstrauss Transform: An Empirical Study. ALENEX 2011: 164-173 - [c45]Sarang C. Joshi, Raj Varma Kommaraju, Jeff M. Phillips, Suresh Venkatasubramanian:
Comparing distributions and shapes using the kernel distance. SCG 2011: 47-56 - [c44]Jeff M. Phillips, Parasaran Raman, Suresh Venkatasubramanian:
Generating a Diverse Set of High-Quality Clusterings. MultiClust@ECML/PKDD 2011: 80-91 - [c43]Avishek Saha, Piyush Rai, Hal Daumé III, Suresh Venkatasubramanian, Scott L. DuVall:
Active Supervised Domain Adaptation. ECML/PKDD (3) 2011: 97-112 - [c42]Andre Vincent Pascal Grosset, Peihong Zhu, Shusen Liu, Suresh Venkatasubramanian, Mary W. Hall:
Evaluating graph coloring on GPUs. PPoPP 2011: 297-298 - [c41]Parasaran Raman, Jeff M. Phillips, Suresh Venkatasubramanian:
Spatially-Aware Comparison and Consensus for Clusterings. SDM 2011: 307-318 - [c40]P. Thomas Fletcher, John Moeller, Jeff M. Phillips, Suresh Venkatasubramanian:
Horoball Hulls and Extents in Positive Definite Space. WADS 2011: 386-398 - [c39]Avishek Saha, Piyush Rai, Hal Daumé III, Suresh Venkatasubramanian:
Online Learning of Multiple Tasks and Their Relationships. AISTATS 2011: 643-651 - [i14]Parasaran Raman, Jeff M. Phillips, Suresh Venkatasubramanian:
Spatially-Aware Comparison and Consensus for Clusterings. CoRR abs/1102.0026 (2011) - [i13]Jeff M. Phillips, Suresh Venkatasubramanian:
A Gentle Introduction to the Kernel Distance. CoRR abs/1103.1625 (2011) - [i12]Jeff M. Phillips, Parasaran Raman, Suresh Venkatasubramanian:
Generating a Diverse Set of High-Quality Clusterings. CoRR abs/1108.0017 (2011) - [i11]Amirali Abdullah, John Moeller, Suresh Venkatasubramanian:
Approximate Bregman near neighbors in sublinear time: Beyond the triangle inequality. CoRR abs/1108.0835 (2011) - 2010
- [j19]Dave Clarke, David Eppstein, Kaveh Ghasemloo, Lev Reyzin, András Z. Salamon, Peter W. Shor, Aaron D. Sterling, Suresh Venkatasubramanian:
Questions answered. in theory.: http://cstheory.stackexchange.com/. SIGACT News 41(4): 58-60 (2010) - [j18]Ninghui Li, Tiancheng Li, Suresh Venkatasubramanian:
Closeness: A New Privacy Measure for Data Publishing. IEEE Trans. Knowl. Data Eng. 22(7): 943-956 (2010) - [c38]Amit Goyal, Jagadeesh Jagarlamudi, Hal Daumé III, Suresh Venkatasubramanian:
Sketching Techniques for Large Scale NLP. WAC@NAACL-HLT 2010: 17-25 - [c37]Arvind Agarwal, Jeff M. Phillips, Suresh Venkatasubramanian:
Universal multi-dimensional scaling. KDD 2010: 1149-1158 - [c36]Divesh Srivastava, Suresh Venkatasubramanian:
Information theory for data management. SIGMOD Conference 2010: 1255-1256 - [i10]Sarang C. Joshi, Raj Varma Kommaraju, Jeff M. Phillips, Suresh Venkatasubramanian:
Matching Shapes Using the Current Distance. CoRR abs/1001.0591 (2010) - [i9]Arvind Agarwal, Jeff M. Phillips, Suresh Venkatasubramanian:
A Unified Algorithmic Framework for Multi-Dimensional Scaling. CoRR abs/1003.0529 (2010)
2000 – 2009
- 2009
- [j17]P. Thomas Fletcher, Suresh Venkatasubramanian, Sarang C. Joshi:
The geometric median on Riemannian manifolds with application to robust atlas estimation. NeuroImage 45(1): S143-S152 (2009) - [j16]Divesh Srivastava, Suresh Venkatasubramanian:
Information Theory For Data Management. Proc. VLDB Endow. 2(2): 1662-1663 (2009) - [j15]Sudipto Guha, Andrew McGregor, Suresh Venkatasubramanian:
Sublinear estimation of entropy and information distances. ACM Trans. Algorithms 5(4): 35:1-35:16 (2009) - [c35]