Suresh Venkatasubramanian

200 papers A* 31A 14B 11C 1Journal 96Unranked 42

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Audit Trails for Accountability in Large Language Models. CoRR Victor Ojewale, Harini Suresh, Suresh Venkatasubramanian
2026	J	`jnl`	How to Stop Playing Whack-a-Mole: Mapping the Ecosystem of Technologies Facilitating AI-Generated Non-Consensual Intimate Images. CoRR Michelle L. Ding, Harini Suresh, Suresh Venkatasubramanian
2026	J	`jnl`	The Commodification of AI Sovereignty: Lessons from the Fight for Sovereign Oil. CoRR Rui-Jie Yew, Kate Elizabeth Creasey, Taylor Lynn Curtis, Suresh Venkatasubramanian
2025	J	`jnl`	Advancing Science- and Evidence-based AI Policy. CoRR Rishi Bommasani, Sanjeev Arora, Jennifer T. Chayes, Yejin Choi, Mariano-Florentino Cuellar, Li Fei-Fei, Daniel E. Ho, Dan Jurafsky, Sanmi Koyejo, Hima Lakkaraju, Arvind Narayanan, Alondra Nelson, Emma Pierson, Joelle Pineau, Scott R. Singer, Gaël Varoquaux, Suresh Venkatasubramanian, Ion Stoica, Percy Liang, Dawn Song
2025	J	`jnl`	Bridging Prediction and Intervention Problems in Social Systems. CoRR Lydia T. Liu, Inioluwa Deborah Raji, Angela Zhou, Luke Guerdan, Jessica Hullman, Daniel Malinsky, Bryan Wilder, Simone Zhang, Hammaad Adam, Amanda Coston, Benjamin Laufer, Ezinne Nwankwo, Michael Zanger-Tishler, Eli Ben-Michael, Solon Barocas, Avi Feller, Marissa Gerchick, Talia Gillis, Shion Guha, Daniel E. Ho, Lily Hu, Kosuke Imai, Sayash Kapoor, Joshua Loftus, Razieh Nabi, Arvind Narayanan, Ben Recht, Juan Carlos Perdomo, Matthew J. Salganik, Mark P. Sendak, Alexander Tolbert, Berk Ustun, Suresh Venkatasubramanian, Angelina Wang, Ashia Wilson
2025	A	`conf`	Copyrighting Generative AI Co-Creations. Conference on Designing Interactive Systems Jeff Huang, Rui-Jie Yew, Suresh Venkatasubramanian
2025	J	`jnl`	Counting Hours, Counting Losses: The Toll of Unpredictable Work Schedules on Financial Security. CoRR Pegah Nokhiz, Aravinda Kanchana Ruwanpathirana, Aditya Bhaskara, Suresh Venkatasubramanian
2025	J	`jnl`	Counting Hours, Counting Losses: The Toll of Unpredictable Work Schedules on Financial Security. Trans. Mach. Learn. Res. Pegah Nokhiz, Aravinda Kanchana Ruwanpathirana, Aditya Bhaskara, Suresh Venkatasubramanian
2025	J	`jnl`	Distinguishing Predictive and Generative AI in Regulation. CoRR Jennifer Wang, Andrew D. Selbst, Solon Barocas, Suresh Venkatasubramanian
2025	J	`jnl`	Genetic Data Governance in Crisis: Policy Recommendations for Safeguarding Privacy and Preventing Discrimination. CoRR Vivek Ramanan, Ria Vinod, Cole Williams, Sohini Ramachandran, Suresh Venkatasubramanian
2025	J	`jnl`	Multi-lingual Functional Evaluation for Large Language Models. CoRR Victor Ojewale, Inioluwa Deborah Raji, Suresh Venkatasubramanian
2025	—	`conf`	Navigating Dialectal Bias and Ethical Complexities in Levantine Arabic Hate Speech Detection. COLING Workshops Ahmed Haj Ahmed, Rui-Jie Yew, Xerxes Minocher, Suresh Venkatasubramanian
2025	—	`conf`	Red Teaming AI Policy: A Taxonomy of Avoision and the EU AI Act. FAccT Rui-Jie Yew, Bill Marino, Suresh Venkatasubramanian
2025	J	`jnl`	Red Teaming AI Policy: A Taxonomy of Avoision and the EU AI Act. CoRR Rui-Jie Yew, Bill Marino, Suresh Venkatasubramanian
2024	—	`conf`	Agent-Based Simulation of Decision-Making Under Uncertainty to Study Financial Precarity. PKDD (4) Pegah Nokhiz, Aravinda Kanchana Ruwanpathirana, Neal Patwari, Suresh Venkatasubramanian
2024	J	`jnl`	Community Driven Approaches to Research in Technology & Society CCC Workshop Report. CoRR Suresh Venkatasubramanian, Timnit Gebru, Ufuk Topcu, Haley Griffin, Leah Namisa Rosenbloom, Nasim Sonboli
2024	J	`jnl`	Navigating Dialectal Bias and Ethical Complexities in Levantine Arabic Hate Speech Detection. CoRR Ahmed Haj Ahmed, Rui-Jie Yew, Xerxes Minocher, Suresh Venkatasubramanian
2024	—	`conf`	Observing Context Improves Disparity Estimation when Race is Unobserved. AIES (1) Kweku Kwegyir-Aggrey, Naveen Durvasula, Jennifer Wang, Suresh Venkatasubramanian
2024	J	`jnl`	Observing Context Improves Disparity Estimation when Race is Unobserved. CoRR Kweku Kwegyir-Aggrey, Naveen Durvasula, Jennifer Wang, Suresh Venkatasubramanian
2024	J	`jnl`	Operationalizing the Blueprint for an AI Bill of Rights: Recommendations for Practitioners, Researchers, and Policy Makers. CoRR Alex Oesterling, Usha Bhalla, Suresh Venkatasubramanian, Himabindu Lakkaraju
2024	A	`conf`	To Pool or Not To Pool: Analyzing the Regularizing Effects of Group-Fair Training on Shared Models. AISTATS Cyrus Cousins, I. Elizabeth Kumar, Suresh Venkatasubramanian
2024	J	`jnl`	To Pool or Not To Pool: Analyzing the Regularizing Effects of Group-Fair Training on Shared Models. CoRR Cyrus Cousins, I. Elizabeth Kumar, Suresh Venkatasubramanian
2024	—	`conf`	You Still See Me: How Data Protection Supports the Architecture of AI Surveillance. AIES (1) Rui-Jie Yew, Lucy Qin, Suresh Venkatasubramanian
2024	J	`jnl`	You Still See Me: How Data Protection Supports the Architecture of ML Surveillance. CoRR Rui-Jie Yew, Lucy Qin, Suresh Venkatasubramanian
2023	—	`conf`	Designing Ethically-Integrated Assignments: It's Harder Than it Looks. ICER (1) Noelle Brown, Koriann South, Suresh Venkatasubramanian, Eliane Stampfer Wiese
2023	—	`conf`	Measuring and mitigating voting access disparities: a study of race and polling locations in Florida and North Carolina. FAccT Mohsen Abbasi, Calvin Barrett, Kristian Lum, Sorelle A. Friedler, Suresh Venkatasubramanian
2023	—	`conf`	Reducing Access Disparities in Networks using Edge Augmentation✱. FAccT Ashkan Bashardoust, Sorelle A. Friedler, Carlos Scheidegger, Blair D. Sullivan, Suresh Venkatasubramanian
2023	—	`conf`	The Misuse of AUC: What High Impact Risk Assessment Gets Wrong. FAccT Kweku Kwegyir-Aggrey, Marissa Gerchick, Malika Mohan, Aaron Horowitz, Suresh Venkatasubramanian
2023	J	`jnl`	The Misuse of AUC: What High Impact Risk Assessment Gets Wrong. CoRR Kweku Kwegyir-Aggrey, Marissa Gerchick, Malika Mohan, Aaron Horowitz, Suresh Venkatasubramanian
2022	—	`conf`	Approaches for Weaving Responsible Computing into Data Structures and Algorithms Courses. SIGCSE (2) Kathi Fisler, Sorelle A. Friedler, Kevin Lin, Suresh Venkatasubramanian
2022	J	`jnl`	Measuring and mitigating voting access disparities: a study of race and polling locations in Florida and North Carolina. CoRR Mohsen Abbasi, Suresh Venkatasubramanian, Sorelle A. Friedler, Kristian Lum, Calvin Barrett
2022	—	`conf`	Models for understanding and quantifying feedback in societal systems. FAccT Lydia Reader, Pegah Nokhiz, Cathleen Power, Neal Patwari, Suresh Venkatasubramanian, Sorelle A. Friedler
2022	J	`jnl`	Reducing Access Disparities in Networks using Edge Augmentation. CoRR Ashkan Bashardoust, Sorelle A. Friedler, Carlos Eduardo Scheidegger, Blair D. Sullivan, Suresh Venkatasubramanian
2021	J	`jnl`	A Research Ecosystem for Secure Computing. CoRR Nadya Bliss, Lawrence A. Gordon, Daniel Lopresti, Fred B. Schneider, Suresh Venkatasubramanian
2021	—	`conf`	Fair Clustering via Equitable Group Representations. FAccT Mohsen Abbasi, Aditya Bhaskara, Suresh Venkatasubramanian
2021	A*	`conf`	Fairness in Networks: Social Capital, Information Access, and Interventions. KDD Suresh Venkatasubramanian, Carlos Scheidegger, Sorelle A. Friedler, Aaron Clauset
2021	—	`conf`	It's COMPASlicated: The Messy Relationship between RAI Datasets and Algorithmic Fairness Benchmarks. NeurIPS Datasets and Benchmarks Michelle Bao, Angela Zhou, Samantha Zottola, Brian Brubach, Sarah Desmarais, Aaron Horowitz, Kristian Lum, Suresh Venkatasubramanian
2021	J	`jnl`	It's COMPASlicated: The Messy Relationship between RAI Datasets and Algorithmic Fairness Benchmarks. CoRR Michelle Bao, Angela Zhou, Samantha Zottola, Brian Brubach, Sarah Desmarais, Aaron Horowitz, Kristian Lum, Suresh Venkatasubramanian
2021	C	`conf`	Precarity: Modeling the Long Term Effects of Compounded Decisions on Individual Instability. AIES Pegah Nokhiz, Aravinda Kanchana Ruwanpathirana, Neal Patwari, Suresh Venkatasubramanian
2021	J	`jnl`	Precarity: Modeling the Long Term Effects of Compounded Decisions on Individual Instability. CoRR Pegah Nokhiz, Aravinda Kanchana Ruwanpathirana, Neal Patwari, Suresh Venkatasubramanian
2021	A*	`conf`	Shapley Residuals: Quantifying the limits of the Shapley value for explanations. NeurIPS Indra Kumar, Carlos Scheidegger, Suresh Venkatasubramanian, Sorelle A. Friedler
2021	J	`jnl`	The (Im)possibility of fairness: different value systems require different mechanisms for fair decision making. Commun. ACM Sorelle A. Friedler, Carlos Scheidegger, Suresh Venkatasubramanian
2020	J	`jnl`	Clustering via Information Access in a Network. CoRR Hannah C. Beilinson, Nasanbayar Ulzii-Orshikh, Ashkan Bashardoust, Sorelle A. Friedler, Carlos Eduardo Scheidegger, Suresh Venkatasubramanian
2020	J	`jnl`	Evolving Methods for Evaluating and Disseminating Computing Research. CoRR Benjamin Zorn, Tom Conte, Keith Marzullo, Suresh Venkatasubramanian
2020	J	`jnl`	Fair clustering via equitable group representations. CoRR Mohsen Abbasi, Aditya Bhaskara, Suresh Venkatasubramanian
2020	J	`jnl`	Interdisciplinary Approaches to Understanding Artificial Intelligence's Impact on Society. CoRR Suresh Venkatasubramanian, Nadya Bliss, Helen Nissenbaum, Melanie Moses
2020	A*	`conf`	Problems with Shapley-value-based explanations as feature importance measures. ICML I. Elizabeth Kumar, Suresh Venkatasubramanian, Carlos Scheidegger, Sorelle A. Friedler
2020	J	`jnl`	Problems with Shapley-value-based explanations as feature importance measures. CoRR I. Elizabeth Kumar, Suresh Venkatasubramanian, Carlos Scheidegger, Sorelle A. Friedler
2020	J	`jnl`	The complexity of explaining neural networks through (group) invariants. Theor. Comput. Sci. Danielle Ensign, Scott Neville, Arnab Paul, Suresh Venkatasubramanian
2020	—	`conf`	The philosophical basis of algorithmic recourse. FAT* Suresh Venkatasubramanian, Mark Alfano
2019	—	`conf`	A comparative study of fairness-enhancing interventions in machine learning. FAT Sorelle A. Friedler, Carlos Scheidegger, Suresh Venkatasubramanian, Sonam Choudhary, Evan P. Hamilton, Derek Roth
2019	A*	`conf`	Algorithmic Fairness: Measures, Methods and Representations. PODS Suresh Venkatasubramanian
2019	J	`jnl`	Disentangling Influence: Using Disentangled Representations to Audit Model Predictions. CoRR Charles T. Marx, Richard Lanas Phillips, Sorelle A. Friedler, Carlos Scheidegger, Suresh Venkatasubramanian
2019	A*	`conf`	Disentangling Influence: Using disentangled representations to audit model predictions. NeurIPS Charles T. Marx, Richard L. Phillips, Sorelle A. Friedler, Carlos Scheidegger, Suresh Venkatasubramanian
2019	J	`jnl`	Equalizing Recourse across Groups. CoRR Vivek Gupta, Pegah Nokhiz, Chitradeep Dutta Roy, Suresh Venkatasubramanian
2019	—	`conf`	Fairness and Abstraction in Sociotechnical Systems. FAT Andrew D. Selbst, danah boyd, Sorelle A. Friedler, Suresh Venkatasubramanian, Janet Vertesi
2019	A	`conf`	Fairness in representation: quantifying stereotyping as a representational harm. SDM Mohsen Abbasi, Sorelle A. Friedler, Carlos Scheidegger, Suresh Venkatasubramanian
2019	J	`jnl`	Fairness in representation: quantifying stereotyping as a representational harm. CoRR Mohsen Abbasi, Sorelle A. Friedler, Carlos Scheidegger, Suresh Venkatasubramanian
2019	J	`jnl`	Gaps in Information Access in Social Networks. CoRR Benjamin Fish, Ashkan Bashardoust, danah boyd, Sorelle A. Friedler, Carlos Scheidegger, Suresh Venkatasubramanian
2019	A*	`conf`	Gaps in Information Access in Social Networks? WWW Benjamin Fish, Ashkan Bashardoust, danah boyd, Sorelle A. Friedler, Carlos Scheidegger, Suresh Venkatasubramanian
2019	J	`jnl`	Verifiable Stream Computation and Arthur-Merlin Communication. SIAM J. Comput. Amit Chakrabarti, Graham Cormode, Andrew McGregor, Justin Thaler, Suresh Venkatasubramanian
2018	J	`jnl`	A comparative study of fairness-enhancing interventions in machine learning. CoRR Sorelle A. Friedler, Carlos Scheidegger, Suresh Venkatasubramanian, Sonam Choudhary, Evan P. Hamilton, Derek Roth
2018	J	`jnl`	Auditing black-box models for indirect influence. Knowl. Inf. Syst. Philip Adler, Casey Falk, Sorelle A. Friedler, Tionney Nix, Gabriel Rybeck, Carlos Scheidegger, Brandon Smith, Suresh Venkatasubramanian
2018	—	`ch.`	Clustering on Streams. Encyclopedia of Database Systems (2nd ed.) Suresh Venkatasubramanian
2018	B	`conf`	Decision making with limited feedback. ALT Danielle Ensign, Sorelle A. Friedler, Scott Neville, Carlos Eduardo Scheidegger, Suresh Venkatasubramanian
2018	A	`ed.`	Proceedings of the Twentieth Workshop on Algorithm Engineering and Experiments, ALENEX 2018, New Orleans, LA, USA, January 7-8, 2018. ALENEX Rasmus Pagh, Suresh Venkatasubramanian
2018	—	`conf`	Runaway Feedback Loops in Predictive Policing. FAT Danielle Ensign, Sorelle A. Friedler, Scott Neville, Carlos Scheidegger, Suresh Venkatasubramanian
2018	A*	`conf`	Sublinear Algorithms for MAXCUT and Correlation Clustering. ICALP Aditya Bhaskara, Samira Daruki, Suresh Venkatasubramanian
2018	J	`jnl`	Sublinear Algorithms for MAXCUT and Correlation Clustering. CoRR Aditya Bhaskara, Samira Daruki, Suresh Venkatasubramanian
2017	B	`conf`	Computational Philosophy: On Fairness in Automated Decision Making. ISAAC Suresh Venkatasubramanian
2017	J	`jnl`	Fair Pipelines. CoRR Amanda Bower, Sarah N. Kitchen, Laura Niss, Martin J. Strauss, Alexander Vargas, Suresh Venkatasubramanian
2017	J	`jnl`	Runaway Feedback Loops in Predictive Policing. CoRR Danielle Ensign, Sorelle A. Friedler, Scott Neville, Carlos Eduardo Scheidegger, Suresh Venkatasubramanian
2017	B	`conf`	The Complexity of Explaining Neural Networks Through (group) Invariants. ALT Danielle Ensign, Scott Neville, Arnab Paul, Suresh Venkatasubramanian
2016	A	`conf`	A Unified View of Localized Kernel Learning. SDM John Moeller, Sarathkrishna Swaminathan, Suresh Venkatasubramanian
2016	J	`jnl`	A Unified View of Localized Kernel Learning. CoRR John Moeller, Sarathkrishna Swaminathan, Suresh Venkatasubramanian
2016	A*	`conf`	Auditing Black-Box Models for Indirect Influence. ICDM Philip Adler, Casey Falk, Sorelle A. Friedler, Gabriel Rybeck, Carlos Scheidegger, Brandon Smith, Suresh Venkatasubramanian
2016	J	`jnl`	Auditing Black-box Models by Obscuring Features. CoRR Philip Adler, Casey Falk, Sorelle A. Friedler, Gabriel Rybeck, Carlos Scheidegger, Brandon Smith, Suresh Venkatasubramanian
2016	—	`conf`	Continuous Kernel Learning. ECML/PKDD (2) John Moeller, Vivek Srikumar, Sarathkrishna Swaminathan, Suresh Venkatasubramanian, Dustin Webb
2016	J	`jnl`	On the (im)possibility of fairness. CoRR Sorelle A. Friedler, Carlos Scheidegger, Suresh Venkatasubramanian
2016	A	`conf`	Sketching, Embedding and Dimensionality Reduction in Information Theoretic Spaces. AISTATS Amirali Abdullah, Ravi Kumar, Andrew McGregor, Sergei Vassilvitskii, Suresh Venkatasubramanian
2016	B	`conf`	Streaming Verification of Graph Properties. ISAAC Amirali Abdullah, Samira Daruki, Chitradeep Dutta Roy, Suresh Venkatasubramanian
2016	J	`jnl`	Streaming Verification of Graph Properties. CoRR Amirali Abdullah, Samira Daruki, Chitradeep Dutta Roy, Suresh Venkatasubramanian
2015	A*	`conf`	A Directed Isoperimetric Inequality with application to Bregman Near Neighbor Lower Bounds. STOC Amirali Abdullah, Suresh Venkatasubramanian
2015	—	`conf`	A Group Theoretic Perspective on Unsupervised Deep Learning. ICLR (Workshop) Arnab Paul, Suresh Venkatasubramanian
2015	A*	`conf`	Certifying and Removing Disparate Impact. KDD Michael Feldman, Sorelle A. Friedler, John Moeller, Carlos Scheidegger, Suresh Venkatasubramanian
2015	A	`ed.`	Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30 - May 2, 2015 SDM Suresh Venkatasubramanian, Jieping Ye
2015	J	`jnl`	Sketching, Embedding, and Dimensionality Reduction for Information Spaces. CoRR Amirali Abdullah, Ravi Kumar, Andrew McGregor, Sergei Vassilvitskii, Suresh Venkatasubramanian
2015	B	`conf`	Streaming Verification in Data Analysis. ISAAC Samira Daruki, Justin Thaler, Suresh Venkatasubramanian
2015	J	`jnl`	Streaming Verification in Data Analysis. CoRR Samira Daruki, Justin Thaler, Suresh Venkatasubramanian
2015	A	`conf`	Verifiable Stream Computation and Arthur-Merlin Communication. CCC Amit Chakrabarti, Graham Cormode, Andrew McGregor, Justin Thaler, Suresh Venkatasubramanian
2015	—	`conf`	You're crossing the line: Localizing border crossings using wireless RF links. SP/SPE Peter Hillyard, Neal Patwari, Samira Daruki, Suresh Venkatasubramanian
2014	A	`conf`	A Geometric Algorithm for Scalable Multiple Kernel Learning. AISTATS John Moeller, Parasaran Raman, Suresh Venkatasubramanian, Avishek Saha
2014	J	`jnl`	A directed isoperimetric inequality with application to Bregman near neighbor lower bounds. CoRR Amirali Abdullah, Suresh Venkatasubramanian
2014	J	`jnl`	Certifying and removing disparate impact. CoRR Sorelle A. Friedler, Carlos Scheidegger, Suresh Venkatasubramanian
2014	J	`jnl`	Multiple Target Tracking with RF Sensor Networks. IEEE Trans. Mob. Comput. Maurizio Bocca, Ossi Kaltiokallio, Neal Patwari, Suresh Venkatasubramanian
2014	J	`jnl`	Verifiable Stream Computation and Arthur-Merlin Communication. Electron. Colloquium Comput. Complex. Amit Chakrabarti, Graham Cormode, Andrew McGregor, Justin Thaler, Suresh Venkatasubramanian
2014	J	`jnl`	Why does Deep Learning work? - A perspective from Group Theory. CoRR Arnab Paul, Suresh Venkatasubramanian
2013	J	`jnl`	Approximate Bregman Near Neighbors in Sublinear Time: beyond the Triangle inequality. Int. J. Comput. Geom. Appl. Amirali Abdullah, John Moeller, Suresh Venkatasubramanian
2013	—	`conf`	Clustering With Center Constraints. FSTTCS Parinya Chalermsook, Suresh Venkatasubramanian
2013	J	`jnl`	Computational geometry column 55: new developments in nonnegative matrix factorization. SIGACT News Suresh Venkatasubramanian
2013	J	`jnl`	Moving heaven and earth: distances between distributions. SIGACT News Suresh Venkatasubramanian
2013	J	`jnl`	Multiple Target Tracking with RF Sensor Networks CoRR Maurizio Bocca, Ossi Kaltiokallio, Neal Patwari, Suresh Venkatasubramanian
2013	J	`jnl`	On Interactivity in Arthur-Merlin Communication and Stream Computation. Electron. Colloquium Comput. Complex. Amit Chakrabarti, Graham Cormode, Andrew McGregor, Justin Thaler, Suresh Venkatasubramanian
2013	J	`jnl`	On minimizing budget and time in influence propagation over social networks. Soc. Netw. Anal. Min. Amit Goyal, Francesco Bonchi, Laks V. S. Lakshmanan, Suresh Venkatasubramanian
2013	J	`jnl`	Power to the Points: Validating Data Memberships in Clusterings CoRR Parasaran Raman, Suresh Venkatasubramanian
2013	A*	`conf`	Power to the Points: Validating Data Memberships in Clusterings. ICDM Parasaran Raman, Suresh Venkatasubramanian
2013	—	`conf`	Radio tomographic imaging and tracking of stationary and moving people via kernel distance. IPSN Yang Zhao, Neal Patwari, Jeff M. Phillips, Suresh Venkatasubramanian
2013	J	`jnl`	Rethinking Abstractions for Big Data: Why, Where, How, and What. CoRR 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
2013	J	`jnl`	The many stages of writing a paper, and how to close the deal. XRDS Suresh Venkatasubramanian
2013	—	`conf`	Track estimation using link line crossing information in wireless networks. GlobalSIP Peter Hillyard, Samira Daruki, Neal Patwari, Suresh Venkatasubramanian
2012	—	`ed.`	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. MultiClust@SDM Emmanuel Müller, Thomas Seidl, Suresh Venkatasubramanian, Arthur Zimek
2012	—	`conf`	Approximate bregman near neighbors in sublinear time: beyond the triangle inequality. SCG Amirali Abdullah, John Moeller, Suresh Venkatasubramanian
2012	J	`jnl`	Efficient Protocols for Distributed Classification and Optimization CoRR Hal Daumé III, Jeff M. Phillips, Avishek Saha, Suresh Venkatasubramanian
2012	B	`conf`	Efficient Protocols for Distributed Classification and Optimization. ALT Hal Daumé III, Jeff M. Phillips, Avishek Saha, Suresh Venkatasubramanian
2012	J	`jnl`	Fast Multiple Kernel Learning With Multiplicative Weight Updates CoRR John Moeller, Parasaran Raman, Avishek Saha, Suresh Venkatasubramanian
2012	J	`jnl`	Protocols for Learning Classifiers on Distributed Data CoRR Hal Daumé III, Jeff M. Phillips, Avishek Saha, Suresh Venkatasubramanian
2012	A	`conf`	Protocols for Learning Classifiers on Distributed Data. AISTATS Hal Daumé III, Jeff M. Phillips, Avishek Saha, Suresh Venkatasubramanian
2012	—	`conf`	Sensor Network Localization for Moving Sensors. ICDM Workshops Arvind Agarwal, Hal Daumé III, Jeff M. Phillips, Suresh Venkatasubramanian
2011	J	`jnl`	A Gentle Introduction to the Kernel Distance CoRR Jeff M. Phillips, Suresh Venkatasubramanian
2011	—	`conf`	Active Supervised Domain Adaptation. ECML/PKDD (3) Avishek Saha, Piyush Rai, Hal Daumé III, Suresh Venkatasubramanian, Scott L. DuVall
2011	J	`jnl`	Approximate Bregman near neighbors in sublinear time: Beyond the triangle inequality CoRR Amirali Abdullah, John Moeller, Suresh Venkatasubramanian
2011	—	`conf`	Comparing distributions and shapes using the kernel distance. SCG Sarang C. Joshi, Raj Varma Kommaraju, Jeff M. Phillips, Suresh Venkatasubramanian
2011	B	`conf`	Evaluating graph coloring on GPUs. PPoPP Andre Vincent Pascal Grosset, Peihong Zhu, Shusen Liu, Suresh Venkatasubramanian, Mary W. Hall
2011	J	`jnl`	Generating a Diverse Set of High-Quality Clusterings CoRR Jeff M. Phillips, Parasaran Raman, Suresh Venkatasubramanian
2011	—	`conf`	Generating a Diverse Set of High-Quality Clusterings. MultiClust@ECML/PKDD Jeff M. Phillips, Parasaran Raman, Suresh Venkatasubramanian
2011	B	`conf`	Horoball Hulls and Extents in Positive Definite Space. WADS P. Thomas Fletcher, John Moeller, Jeff M. Phillips, Suresh Venkatasubramanian
2011	A	`conf`	Online Learning of Multiple Tasks and Their Relationships. AISTATS Avishek Saha, Piyush Rai, Hal Daumé III, Suresh Venkatasubramanian
2011	J	`jnl`	Spatially-Aware Comparison and Consensus for Clusterings CoRR Parasaran Raman, Jeff M. Phillips, Suresh Venkatasubramanian
2011	A	`conf`	Spatially-Aware Comparison and Consensus for Clusterings. SDM Parasaran Raman, Jeff M. Phillips, Suresh Venkatasubramanian
2011	A	`conf`	The Johnson-Lindenstrauss Transform: An Empirical Study. ALENEX Suresh Venkatasubramanian, Qiushi Wang
2010	J	`jnl`	A Unified Algorithmic Framework for Multi-Dimensional Scaling CoRR Arvind Agarwal, Jeff M. Phillips, Suresh Venkatasubramanian
2010	J	`jnl`	Closeness: A New Privacy Measure for Data Publishing. IEEE Trans. Knowl. Data Eng. Ninghui Li, Tiancheng Li, Suresh Venkatasubramanian
2010	—	`conf`	Information theory for data management. SIGMOD Conference Divesh Srivastava, Suresh Venkatasubramanian
2010	J	`jnl`	Matching Shapes Using the Current Distance CoRR Sarang C. Joshi, Raj Varma Kommaraju, Jeff M. Phillips, Suresh Venkatasubramanian
2010	J	`jnl`	Questions answered. in theory.: http://cstheory.stackexchange.com/. SIGACT News Dave Clarke, David Eppstein, Kaveh Ghasemloo, Lev Reyzin, András Z. Salamon, Peter W. Shor, Aaron D. Sterling, Suresh Venkatasubramanian
2010	—	`conf`	Sketching Techniques for Large Scale NLP. WAC@NAACL-HLT Amit Goyal, Jagadeesh Jagarlamudi, Hal Daumé III, Suresh Venkatasubramanian
2010	A*	`conf`	Universal multi-dimensional scaling. KDD Arvind Agarwal, Jeff M. Phillips, Suresh Venkatasubramanian
2009	—	`conf`	Approximate shape matching and symmetry detection for 3D shapes with guaranteed error bounds. Shape Modeling International Shankar Krishnan, Suresh Venkatasubramanian
2009	B	`conf`	Change (Detection) You Can Believe in: Finding Distributional Shifts in Data Streams. IDA Tamraparni Dasu, Shankar Krishnan, Dongyu Lin, Suresh Venkatasubramanian, Kevin Yi
2009	—	`ch.`	Clustering on Streams. Encyclopedia of Database Systems Suresh Venkatasubramanian
2009	J	`jnl`	Computing Hulls And Centerpoints In Positive Definite Space CoRR P. Thomas Fletcher, John Moeller, Jeff M. Phillips, Suresh Venkatasubramanian
2009	J	`jnl`	Information Theory For Data Management. Proc. VLDB Endow. Divesh Srivastava, Suresh Venkatasubramanian
2009	A*	`conf`	Metric Functional Dependencies. ICDE Nick Koudas, Avishek Saha, Divesh Srivastava, Suresh Venkatasubramanian
2009	J	`jnl`	Streamed Learning: One-Pass SVMs CoRR Piyush Rai, Hal Daumé III, Suresh Venkatasubramanian
2009	A*	`conf`	Streamed Learning: One-Pass SVMs. IJCAI Piyush Rai, Hal Daumé III, Suresh Venkatasubramanian
2009	—	`conf`	Streaming for large scale NLP: Language Modeling. HLT-NAACL Amit Goyal, Hal Daumé III, Suresh Venkatasubramanian
2009	J	`jnl`	Sublinear estimation of entropy and information distances. ACM Trans. Algorithms Sudipto Guha, Andrew McGregor, Suresh Venkatasubramanian
2009	J	`jnl`	The geometric median on Riemannian manifolds with application to robust atlas estimation. NeuroImage P. Thomas Fletcher, Suresh Venkatasubramanian, Sarang C. Joshi
2009	B	`conf`	Type-based categorization of relational attributes. EDBT Babak Ahmadi, Marios Hadjieleftheriou, Thomas Seidl, Divesh Srivastava, Suresh Venkatasubramanian
2008	—	`ch.`	Measures of Anonymity. Privacy-Preserving Data Mining Suresh Venkatasubramanian
2008	J	`jnl`	Rectangular layouts and contact graphs. ACM Trans. Algorithms Adam L. Buchsbaum, Emden R. Gansner, Cecilia Magdalena Procopiuc, Suresh Venkatasubramanian
2008	A*	`conf`	Robust statistics on Riemannian manifolds via the geometric median. CVPR P. Thomas Fletcher, Suresh Venkatasubramanian, Sarang C. Joshi
2008	A*	`conf`	Validating Multi-column Schema Matchings by Type. ICDE Bing Tian Dai, Nick Koudas, Divesh Srivastava, Anthony K. H. Tung, Suresh Venkatasubramanian
2007	J	`jnl`	Curve Matching, Time Warping, and Light Fields: New Algorithms for Computing Similarity between Curves. J. Math. Imaging Vis. Alon Efrat, Quanfu Fan, Suresh Venkatasubramanian
2007	—	`conf`	Directed graphs and rectangular layouts. APVIS Adam L. Buchsbaum, Emden R. Gansner, Suresh Venkatasubramanian
2007	J	`jnl`	Optimisation-on-a-manifold for global registration of multiple 3D point sets. Int. J. Intell. Syst. Technol. Appl. Shankar Krishnan, Pei Yean Lee, John B. Moore, Suresh Venkatasubramanian
2007	A*	`conf`	Restricted strip covering and the sensor cover problem. SODA Adam L. Buchsbaum, Alon Efrat, Shaili Jain, Suresh Venkatasubramanian, Ke Yi
2007	A*	`conf`	t-Closeness: Privacy Beyond k-Anonymity and l-Diversity. ICDE Ninghui Li, Tiancheng Li, Suresh Venkatasubramanian
2006	—	`conf`	Column Heterogeneity as a Measure of Data Quality. CleanDB Bing Tian Dai, Nick Koudas, Beng Chin Ooi, Divesh Srivastava, Suresh Venkatasubramanian
2006	J	`jnl`	Dynamic simplification and visualization of large maps. Int. J. Geogr. Inf. Sci. Nabil H. Mustafa, Shankar Krishnan, Gokul Varadhan, Suresh Venkatasubramanian
2006	A*	`conf`	Rapid Identification of Column Heterogeneity. ICDM Bing Tian Dai, Nick Koudas, Beng Chin Ooi, Divesh Srivastava, Suresh Venkatasubramanian
2006	J	`jnl`	Rectangular Layouts and Contact Graphs CoRR Adam L. Buchsbaum, Emden R. Gansner, Cecilia Magdalena Procopiuc, Suresh Venkatasubramanian
2006	J	`jnl`	Restricted Strip Covering and the Sensor Cover Problem CoRR Adam L. Buchsbaum, Alon Efrat, Shaili Jain, Suresh Venkatasubramanian, Ke Yi
2006	A*	`conf`	Spatial scan statistics: approximations and performance study. KDD Deepak Agarwal, Andrew McGregor, Jeff M. Phillips, Suresh Venkatasubramanian, Zhengyuan Zhu
2006	A*	`conf`	Streaming and sublinear approximation of entropy and information distances. SODA Sudipto Guha, Andrew McGregor, Suresh Venkatasubramanian
2006	A*	`conf`	The hunting of the bump: on maximizing statistical discrepancy. SODA Deepak Agarwal, Jeff M. Phillips, Suresh Venkatasubramanian
2005	B	`conf`	Global Registration of Multiple 3D Point Sets via Optimization-on-a-Manifold. Symposium on Geometry Processing Shankar Krishnan, Pei Yean Lee, John B. Moore, Suresh Venkatasubramanian
2005	—	`conf`	Hardware-Assisted Natural Neighbor Interpolation. ALENEX/ANALCO Quanfu Fan, Alon Efrat, Vladlen Koltun, Shankar Krishnan, Suresh Venkatasubramanian
2005	—	`conf`	On stationarity in Internet measurements through an information-theoretic lens. ICDE Workshops Balachander Krishnamurthy, Suresh Venkatasubramanian, Harsha V. Madhyastha
2005	J	`jnl`	Streaming and Sublinear Approximation of Entropy and Information Distances CoRR Sudipto Guha, Andrew McGregor, Suresh Venkatasubramanian
2005	J	`jnl`	The Hunting of the Bump: On Maximizing Statistical Discrepancy CoRR Deepak Agarwal, Jeff M. Phillips, Suresh Venkatasubramanian
2005	J	`jnl`	vLOD: High-Fidelity Walkthrough of Large Virtual Environments. IEEE Trans. Vis. Comput. Graph. Jatin Chhugani, Budirijanto Purnomo, Shankar Krishnan, Jonathan D. Cohen, Suresh Venkatasubramanian, David S. Johnson, Subodh Kumar
2004	J	`jnl`	Combinatorial and Experimental Methods for Approximate Point Pattern Matching. Algorithmica Martin Gavrilov, Piotr Indyk, Rajeev Motwani, Suresh Venkatasubramanian
2004	A*	`conf`	Compressing Large Boolean Matrices using Reordering Techniques. VLDB David S. Johnson, Shankar Krishnan, Jatin Chhugani, Subodh Kumar, Suresh Venkatasubramanian
2004	J	`jnl`	Pattern Matching for Sets of Segments. Algorithmica Alon Efrat, Piotr Indyk, Suresh Venkatasubramanian
2003	—	`conf`	Application of the two-sided depth test to CSG rendering. SI3D Sudipto Guha, Shankar Krishnan, Kamesh Munagala, Suresh Venkatasubramanian
2003	J	`jnl`	Approximate congruence in nearly linear time. Comput. Geom. Piotr Indyk, Suresh Venkatasubramanian
2003	—	`conf`	Statistical data depth and the graphics hardware. Data Depth: Robust Multivariate Analysis, Computational Geometry and Applications Suresh Krishnan, Nabil H. Mustafa, Suresh Venkatasubramanian
2003	A	`conf`	Streaming Geometric Optimization Using Graphics Hardware. ESA Pankaj K. Agarwal, Shankar Krishnan, Nabil H. Mustafa, Suresh Venkatasubramanian
2003	J	`jnl`	The Graphics Card as a Streaming Computer CoRR Suresh Venkatasubramanian
2002	J	`jnl`	Discrete mathematical problems with medical applications DIMACS volume 55. SIGACT News Suresh Venkatasubramanian
2002	A*	`conf`	Hardware-assisted computation of depth contours. SODA Shankar Krishnan, Nabil H. Mustafa, Suresh Venkatasubramanian
2001	—	`conf`	Hardware-assisted view-dependent map simplification. SCG Nabil H. Mustafa, Eleftherios Koutsofios, Shankar Krishnan, Suresh Venkatasubramanian
2001	A*	`conf`	Pattern matching for sets of segments. SODA Alon Efrat, Piotr Indyk, Suresh Venkatasubramanian
2000	A*	`conf`	Approximate congruence in nearly linear time. SODA Piotr Indyk, Suresh Venkatasubramanian
2000	A*	`conf`	On external memory graph traversal. SODA Adam L. Buchsbaum, Michael H. Goldwasser, Suresh Venkatasubramanian, Jeffery R. Westbrook
2000	A*	`conf`	On the decidability of accessibility problems (extended abstract). STOC Rajeev Motwani, Rina Panigrahy, Vijay A. Saraswat, Suresh Venkatasubramanian
2000	J	`jnl`	Pattern Matching for sets of segments CoRR Alon Efrat, Piotr Indyk, Suresh Venkatasubramanian
1999	J	`jnl`	A theory repository on the Web: a proposal. SIGACT News Suresh Venkatasubramanian
1999	A*	`conf`	Geometric Matching Under Noise: Combinatorial Bounds and Algorithms. SODA Piotr Indyk, Rajeev Motwani, Suresh Venkatasubramanian
1999	—	`conf`	Geometric Pattern Matching: A Performance Study. SCG Martin Gavrilov, Piotr Indyk, Rajeev Motwani, Suresh Venkatasubramanian
1999	—	`—`	Geometric shape matching and drug design. Suresh Venkatasubramanian
1998	A*	`conf`	Proximity Search in Databases. VLDB Roy Goldman, Narayanan Shivakumar, Suresh Venkatasubramanian, Hector Garcia-Molina
1998	J	`jnl`	RAPID: Randomized pharmacophore identification for drug design. Comput. Geom. Paul W. Finn, Lydia E. Kavraki, Jean-Claude Latombe, Rajeev Motwani, Christian R. Shelton, Suresh Venkatasubramanian, Andrew Chi-Chih Yao
1998	J	`jnl`	The Connectivity Server: Fast Access to Linkage Information on the Web. Comput. Networks Krishna Bharat, Andrei Z. Broder, Monika Henzinger, Puneet Kumar, Suresh Venkatasubramanian
1997	—	`conf`	RAPID: Randomized Pharmacophore Identification for Drug Design. SCG Paul W. Finn, Lydia E. Kavraki, Jean-Claude Latombe, Rajeev Motwani, Christian R. Shelton, Suresh Venkatasubramanian, Andrew Chi-Chih Yao
1997	A*	`conf`	Storage Management for Evolving Databases. FOCS Jon M. Kleinberg, Rajeev Motwani, Prabhakar Raghavan, Suresh Venkatasubramanian
1996	J	`jnl`	Efficient Indexing for Broadcast Based Wireless Systems. Mob. Networks Appl. Narayanan Shivakumar, Suresh Venkatasubramanian
1996	—	`conf`	Geometric Manipulation of Flexible Ligands. WACG Paul W. Finn, Dan Halperin, Lydia E. Kavraki, Jean-Claude Latombe, Rajeev Motwani, Christian R. Shelton, Suresh Venkatasubramanian
1989	J	`jnl`	Algorithms for Weighted Graph Problems on The Modified Cellular Graph Automaton. RAIRO Theor. Informatics Appl. Suresh Venkatasubramanian, Kamala Krithivasan, C. Pandu Rangan