Suresh Venkatasubramanian

ORCID

Publication Activity (10 Years)

Years Active: 1989-2024
Publications (10 Years): 62

Top Venues

Publications

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)
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 (2024)
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 (2024)
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 (2024)
Pegah Nokhiz, Aravinda Kanchana Ruwanpathirana, Neal Patwari, Suresh Venkatasubramanian
Agent-Based Simulation of Decision-Making Under Uncertainty to Study Financial Precarity. PKDD (4) (2024)
Rui-Jie Yew, Lucy Qin, Suresh Venkatasubramanian
You Still See Me: How Data Protection Supports the Architecture of ML Surveillance. CoRR (2024)
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)
Ashkan Bashardoust, Sorelle A. Friedler, Carlos Scheidegger, Blair D. Sullivan, Suresh Venkatasubramanian
Reducing Access Disparities in Networks using Edge Augmentation✱. FAccT (2023)
Kweku Kwegyir-Aggrey, Marissa Gerchick, Malika Mohan, Aaron Horowitz, Suresh Venkatasubramanian
The Misuse of AUC: What High Impact Risk Assessment Gets Wrong. CoRR (2023)
Kweku Kwegyir-Aggrey, Marissa Gerchick, Malika Mohan, Aaron Horowitz, Suresh Venkatasubramanian
The Misuse of AUC: What High Impact Risk Assessment Gets Wrong. FAccT (2023)
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 (2022)
Kathi Fisler, Sorelle A. Friedler, Kevin Lin, Suresh Venkatasubramanian
Approaches for Weaving Responsible Computing into Data Structures and Algorithms Courses. SIGCSE (2) (2022)
Ashkan Bashardoust, Sorelle A. Friedler, Carlos Eduardo Scheidegger, Blair D. Sullivan, Suresh Venkatasubramanian
Reducing Access Disparities in Networks using Edge Augmentation. CoRR (2022)
Noelle Brown, Koriann South, Suresh Venkatasubramanian, Eliane Stampfer Wiese
Designing Ethically-Integrated Assignments: It's Harder Than it Looks. ICER (1) (2022)
Lydia Reader, Pegah Nokhiz, Cathleen Power, Neal Patwari, Suresh Venkatasubramanian, Sorelle Friedler
Models for understanding and quantifying feedback in societal systems. FAccT (2022)
Suresh Venkatasubramanian, Carlos Scheidegger, Sorelle A. Friedler, Aaron Clauset
Fairness in Networks: Social Capital, Information Access, and Interventions. KDD (2021)
Pegah Nokhiz, Aravinda Kanchana Ruwanpathirana, Neal Patwari, Suresh Venkatasubramanian
Precarity: Modeling the Long Term Effects of Compounded Decisions on Individual Instability. AIES (2021)
Nadya Bliss, Lawrence A. Gordon, Daniel Lopresti, Fred Schneider, Suresh Venkatasubramanian
A Research Ecosystem for Secure Computing. CoRR (2021)
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) (2021)
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)
Pegah Nokhiz, Aravinda Kanchana Ruwanpathirana, Neal Patwari, Suresh Venkatasubramanian
Precarity: Modeling the Long Term Effects of Compounded Decisions on Individual Instability. CoRR (2021)
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 (2021)
Mohsen Abbasi, Aditya Bhaskara, Suresh Venkatasubramanian
Fair Clustering via Equitable Group Representations. FAccT (2021)
Indra Kumar, Carlos Scheidegger, Suresh Venkatasubramanian, Sorelle A. Friedler
Shapley Residuals: Quantifying the limits of the Shapley value for explanations. NeurIPS (2021)
Hannah C. Beilinson, Nasanbayar Ulzii-Orshikh, Ashkan Bashardoust, Sorelle A. Friedler, Carlos Eduardo Scheidegger, Suresh Venkatasubramanian
Clustering via Information Access in a Network. CoRR (2020)
Suresh Venkatasubramanian, Nadya Bliss, Helen Nissenbaum, Melanie Moses
Interdisciplinary Approaches to Understanding Artificial Intelligence's Impact on Society. CoRR (2020)
Suresh Venkatasubramanian, Mark Alfano
The philosophical basis of algorithmic recourse. FAT* (2020)
Danielle Ensign, Scott Neville, Arnab Paul, Suresh Venkatasubramanian
The complexity of explaining neural networks through (group) invariants. Theor. Comput. Sci. 808 (2020)
Mohsen Abbasi, Aditya Bhaskara, Suresh Venkatasubramanian
Fair clustering via equitable group representations. CoRR (2020)
Benjamin Zorn, Tom Conte, Keith Marzullo, Suresh Venkatasubramanian
Evolving Methods for Evaluating and Disseminating Computing Research. CoRR (2020)
I. Elizabeth Kumar, Suresh Venkatasubramanian, Carlos Scheidegger, Sorelle A. Friedler
Problems with Shapley-value-based explanations as feature importance measures. CoRR (2020)
I. Elizabeth Kumar, Suresh Venkatasubramanian, Carlos Scheidegger, Sorelle A. Friedler
Problems with Shapley-value-based explanations as feature importance measures. ICML (2020)
Benjamin Fish, Ashkan Bashardoust, danah boyd, Sorelle A. Friedler, Carlos Scheidegger, Suresh Venkatasubramanian
Gaps in Information Access in Social Networks? WWW (2019)
Mohsen Abbasi, Sorelle A. Friedler, Carlos Scheidegger, Suresh Venkatasubramanian
Fairness in representation: quantifying stereotyping as a representational harm. CoRR (2019)
Charles T. Marx, Richard Lanas Phillips, Sorelle A. Friedler, Carlos Scheidegger, Suresh Venkatasubramanian
Disentangling Influence: Using Disentangled Representations to Audit Model Predictions. CoRR (2019)
Andrew D. Selbst, danah boyd, Sorelle A. Friedler, Suresh Venkatasubramanian, Janet Vertesi
Fairness and Abstraction in Sociotechnical Systems. FAT (2019)
Benjamin Fish, Ashkan Bashardoust, danah boyd, Sorelle A. Friedler, Carlos Scheidegger, Suresh Venkatasubramanian
Gaps in Information Access in Social Networks. CoRR (2019)
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)
Charles T. Marx, Richard L. Phillips, Sorelle A. Friedler, Carlos Scheidegger, Suresh Venkatasubramanian
Disentangling Influence: Using disentangled representations to audit model predictions. NeurIPS (2019)
Vivek Gupta, Pegah Nokhiz, Chitradeep Dutta Roy, Suresh Venkatasubramanian
Equalizing Recourse across Groups. CoRR (2019)
Amit Chakrabarti, Graham Cormode, Andrew McGregor, Justin Thaler, Suresh Venkatasubramanian
Verifiable Stream Computation and Arthur-Merlin Communication. SIAM J. Comput. 48 (4) (2019)
Mohsen Abbasi, Sorelle A. Friedler, Carlos Scheidegger, Suresh Venkatasubramanian
Fairness in representation: quantifying stereotyping as a representational harm. SDM (2019)
Suresh Venkatasubramanian
Algorithmic Fairness: Measures, Methods and Representations. PODS (2019)
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) (2018)
Danielle Ensign, Sorelle A. Friedler, Scott Neville, Carlos Scheidegger, Suresh Venkatasubramanian
Runaway Feedback Loops in Predictive Policing. FAT (2018)
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 (2018)
Danielle Ensign, Sorelle A. Friedler, Scott Neville, Carlos Eduardo Scheidegger, Suresh Venkatasubramanian
Decision making with limited feedback. ALT (2018)
Aditya Bhaskara, Samira Daruki, Suresh Venkatasubramanian
Sublinear Algorithms for MAXCUT and Correlation Clustering. CoRR (2018)
Aditya Bhaskara, Samira Daruki, Suresh Venkatasubramanian
Sublinear Algorithms for MAXCUT and Correlation Clustering. ICALP (2018)
Suresh Venkatasubramanian
Computational Philosophy: On Fairness in Automated Decision Making. ISAAC (2017)
Danielle Ensign, Scott Neville, Arnab Paul, Suresh Venkatasubramanian
The Complexity of Explaining Neural Networks Through (group) Invariants. ALT (2017)
Amanda Bower, Sarah N. Kitchen, Laura Niss, Martin J. Strauss, Alexander Vargas, Suresh Venkatasubramanian
Fair Pipelines. CoRR (2017)
Danielle Ensign, Sorelle A. Friedler, Scott Neville, Carlos Eduardo Scheidegger, Suresh Venkatasubramanian
Runaway Feedback Loops in Predictive Policing. CoRR (2017)
Amirali Abdullah, Samira Daruki, Chitradeep Dutta Roy, Suresh Venkatasubramanian
Streaming Verification of Graph Properties. ISAAC (2016)
Amirali Abdullah, Ravi Kumar, Andrew McGregor, Sergei Vassilvitskii, Suresh Venkatasubramanian
Sketching, Embedding and Dimensionality Reduction in Information Theoretic Spaces. AISTATS (2016)
John Moeller, Vivek Srikumar, Sarathkrishna Swaminathan, Suresh Venkatasubramanian, Dustin Webb
Continuous Kernel Learning. ECML/PKDD (2) (2016)
Sorelle A. Friedler, Carlos Scheidegger, Suresh Venkatasubramanian
On the (im)possibility of fairness. CoRR (2016)
Philip Adler, Casey Falk, Sorelle A. Friedler, Gabriel Rybeck, Carlos Scheidegger, Brandon Smith, Suresh Venkatasubramanian
Auditing Black-Box Models for Indirect Influence. ICDM (2016)
John Moeller, Sarathkrishna Swaminathan, Suresh Venkatasubramanian
A Unified View of Localized Kernel Learning. SDM (2016)
John Moeller, Sarathkrishna Swaminathan, Suresh Venkatasubramanian
A Unified View of Localized Kernel Learning. CoRR (2016)
Amirali Abdullah, Samira Daruki, Chitradeep Dutta Roy, Suresh Venkatasubramanian
Streaming Verification of Graph Properties. CoRR (2016)
Philip Adler, Casey Falk, Sorelle A. Friedler, Gabriel Rybeck, Carlos Scheidegger, Brandon Smith, Suresh Venkatasubramanian
Auditing Black-box Models by Obscuring Features. CoRR (2016)
Peter Hillyard, Neal Patwari, Samira Daruki, Suresh Venkatasubramanian
You're crossing the line: Localizing border crossings using wireless RF links. SP/SPE (2015)
Michael Feldman, Sorelle A. Friedler, John Moeller, Carlos Scheidegger, Suresh Venkatasubramanian
Certifying and Removing Disparate Impact. KDD (2015)
Arnab Paul, Suresh Venkatasubramanian
A Group Theoretic Perspective on Unsupervised Deep Learning. ICLR (Workshop) (2015)
Samira Daruki, Justin Thaler, Suresh Venkatasubramanian
Streaming Verification in Data Analysis. CoRR (2015)
Amirali Abdullah, Suresh Venkatasubramanian
A Directed Isoperimetric Inequality with application to Bregman Near Neighbor Lower Bounds. STOC (2015)
Amirali Abdullah, Ravi Kumar, Andrew McGregor, Sergei Vassilvitskii, Suresh Venkatasubramanian
Sketching, Embedding, and Dimensionality Reduction for Information Spaces. CoRR (2015)
Samira Daruki, Justin Thaler, Suresh Venkatasubramanian
Streaming Verification in Data Analysis. ISAAC (2015)
Amit Chakrabarti, Graham Cormode, Andrew McGregor, Justin Thaler, Suresh Venkatasubramanian
Verifiable Stream Computation and Arthur-Merlin Communication. Computational Complexity Conference (2015)
Amirali Abdullah, Suresh Venkatasubramanian
A directed isoperimetric inequality with application to Bregman near neighbor lower bounds. CoRR (2014)
John Moeller, Parasaran Raman, Suresh Venkatasubramanian, Avishek Saha
A Geometric Algorithm for Scalable Multiple Kernel Learning. AISTATS (2014)
Arnab Paul, Suresh Venkatasubramanian
Why does Deep Learning work? - A perspective from Group Theory. CoRR (2014)
Amit Chakrabarti, Graham Cormode, Andrew McGregor, Justin Thaler, Suresh Venkatasubramanian
Verifiable Stream Computation and Arthur-Merlin Communication. Electron. Colloquium Comput. Complex. 21 (2014)
Maurizio Bocca, Ossi Kaltiokallio, Neal Patwari, Suresh Venkatasubramanian
Multiple Target Tracking with RF Sensor Networks. IEEE Trans. Mob. Comput. 13 (8) (2014)
Sorelle A. Friedler, Carlos Scheidegger, Suresh Venkatasubramanian
Certifying and removing disparate impact. CoRR (2014)
Parasaran Raman, Suresh Venkatasubramanian
Power to the Points: Validating Data Memberships in Clusterings CoRR (2013)
Peter Hillyard, Samira Daruki, Neal Patwari, Suresh Venkatasubramanian
Track estimation using link line crossing information in wireless networks. GlobalSIP (2013)
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) (2013)
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) (2013)
Yang Zhao, Neal Patwari, Jeff M. Phillips, Suresh Venkatasubramanian
Radio tomographic imaging and tracking of stationary and moving people via kernel distance. IPSN (2013)
Suresh Venkatasubramanian
Moving heaven and earth: distances between distributions. SIGACT News 44 (3) (2013)
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 (2013)
Parasaran Raman, Suresh Venkatasubramanian
Power to the Points: Validating Data Memberships in Clusterings. ICDM (2013)
Amit Chakrabarti, Graham Cormode, Andrew McGregor, Justin Thaler, Suresh Venkatasubramanian
On Interactivity in Arthur-Merlin Communication and Stream Computation. Electron. Colloquium Comput. Complex. 20 (2013)
Parinya Chalermsook, Suresh Venkatasubramanian
Clustering With Center Constraints. FSTTCS (2013)
Suresh Venkatasubramanian
The many stages of writing a paper, and how to close the deal. XRDS 20 (2) (2013)
Maurizio Bocca, Ossi Kaltiokallio, Neal Patwari, Suresh Venkatasubramanian
Multiple Target Tracking with RF Sensor Networks CoRR (2013)
Suresh Venkatasubramanian
Computational geometry column 55: new developments in nonnegative matrix factorization. SIGACT News 44 (1) (2013)
Arvind Agarwal, Hal Daumé III, Jeff M. Phillips, Suresh Venkatasubramanian
Sensor Network Localization for Moving Sensors. ICDM Workshops (2012)
Hal Daumé III, Jeff M. Phillips, Avishek Saha, Suresh Venkatasubramanian
Protocols for Learning Classifiers on Distributed Data CoRR (2012)
Hal Daumé III, Jeff M. Phillips, Avishek Saha, Suresh Venkatasubramanian
Efficient Protocols for Distributed Classification and Optimization CoRR (2012)
John Moeller, Parasaran Raman, Avishek Saha, Suresh Venkatasubramanian
Fast Multiple Kernel Learning With Multiplicative Weight Updates CoRR (2012)
Amirali Abdullah, John Moeller, Suresh Venkatasubramanian
Approximate bregman near neighbors in sublinear time: beyond the triangle inequality. SCG (2012)
Hal Daumé III, Jeff M. Phillips, Avishek Saha, Suresh Venkatasubramanian
Efficient Protocols for Distributed Classification and Optimization. ALT (2012)
Hal Daumé III, Jeff M. Phillips, Avishek Saha, Suresh Venkatasubramanian
Protocols for Learning Classifiers on Distributed Data. AISTATS (2012)
Jeff M. Phillips, Parasaran Raman, Suresh Venkatasubramanian
Generating a Diverse Set of High-Quality Clusterings. MultiClust@ECML/PKDD (2011)
Avishek Saha, Piyush Rai, Hal Daumé III, Suresh Venkatasubramanian
Online Learning of Multiple Tasks and Their Relationships. AISTATS (2011)
Jeff M. Phillips, Parasaran Raman, Suresh Venkatasubramanian
Generating a Diverse Set of High-Quality Clusterings CoRR (2011)
Parasaran Raman, Jeff M. Phillips, Suresh Venkatasubramanian
Spatially-Aware Comparison and Consensus for Clusterings. SDM (2011)

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Publication Activity (10 Years)

Top Topics

Top Venues

Suresh Venkatasubramanian