Venkatasubramanian, Suresh

18 publications

TMLR 2025 Counting Hours, Counting Losses: The Toll of Unpredictable Work Schedules on Financial Security Pegah Nokhiz, Aravinda Kanchana Ruwanpathirana, Aditya Bhaskara, Suresh Venkatasubramanian

AISTATS 2024 To Pool or Not to Pool: Analyzing the Regularizing Effects of Group-Fair Training on Shared Models Cyrus Cousins, I. Elizabeth Kumar, Suresh Venkatasubramanian

NeurIPSW 2023 Repairing Regressors for Fair Binary Classification at Any Decision Threshold Kweku Kwegyir-Aggrey, Jessica Dai, A. Feder Cooper, John Dickerson, Keegan Hines, Suresh Venkatasubramanian

NeurIPSW 2023 You Still See Me: How Data Protection Supports the Architecture of ML Surveillance Rui-Jie Yew, Lucy Qin, Suresh Venkatasubramanian

NeurIPS 2021 Shapley Residuals: Quantifying the Limits of the Shapley Value for Explanations Indra Kumar, Carlos Scheidegger, Suresh Venkatasubramanian, Sorelle Friedler

ICML 2020 Problems with Shapley-Value-Based Explanations as Feature Importance Measures I. Elizabeth Kumar, Suresh Venkatasubramanian, Carlos Scheidegger, Sorelle Friedler

NeurIPS 2019 Disentangling Influence: Using Disentangled Representations to Audit Model Predictions Charles Marx, Richard Phillips, Sorelle Friedler, Carlos Scheidegger, Suresh Venkatasubramanian

ALT 2017 The Complexity of Explaining Neural Networks Through (group) Invariants Danielle Ensign, Scott Neville, Arnab Paul, Suresh Venkatasubramanian

ECML-PKDD 2016 Continuous Kernel Learning John Moeller, Vivek Srikumar, Sarathkrishna Swaminathan, Suresh Venkatasubramanian, Dustin Webb

AISTATS 2016 Sketching, Embedding and Dimensionality Reduction in Information Theoretic Spaces Amirali Abdullah, Ravi Kumar, Andrew McGregor, Sergei Vassilvitskii, Suresh Venkatasubramanian

ICLR 2015 A Group Theoretic Perspective on Unsupervised Deep Learning Arnab Paul, Suresh Venkatasubramanian

AISTATS 2014 A Geometric Algorithm for Scalable Multiple Kernel Learning John Moeller, Parasaran Raman, Suresh Venkatasubramanian, Avishek Saha

ALT 2012 Efficient Protocols for Distributed Classification and Optimization Hal Daumé Iii, Jeff M. Phillips, Avishek Saha, Suresh Venkatasubramanian

AISTATS 2012 Protocols for Learning Classifiers on Distributed Data Hal Daume Iii, Jeff Phillips, Avishek Saha, Suresh Venkatasubramanian

ECML-PKDD 2011 Active Supervised Domain Adaptation Avishek Saha, Piyush Rai, Hal Daumé Iii, Suresh Venkatasubramanian, Scott L. DuVall

AISTATS 2011 Online Learning of Multiple Tasks and Their Relationships Avishek Saha, Piyush Rai, Hal Daumé Iii, Suresh Venkatasubramanian

IJCAI 2009 Streamed Learning: One-Pass SVMs Piyush Rai, Hal Daumé Iii, Suresh Venkatasubramanian

CVPR 2008 Robust Statistics on Riemannian Manifolds via the Geometric Median P. Thomas Fletcher, Suresh Venkatasubramanian, Sarang C. Joshi