Agarwal, Sushant

7 publications

UAI 2025 Aggregating Data for Optimal Learning Sushant Agarwal, Yukti Makhija, Rishi Saket, Aravindan Raghuveer

ICML 2025 Optimal Fair Learning Robust to Adversarial Distribution Shift Sushant Agarwal, Amit Deshpande, Rajmohan Rajaraman, Ravi Sundaram

NeurIPSW 2024 Aggregating Data for Optimal and Private Learning Sushant Agarwal, Yukti Makhija, Rishi Saket, Aravindan Raghuveer

COLT 2021 Open Problem: Are All VC-Classes CPAC Learnable? Sushant Agarwal, Nivasini Ananthakrishnan, Shai Ben-David, Tosca Lechner, Ruth Urner

ICML 2021 Towards the Unification and Robustness of Perturbation and Gradient Based Explanations Sushant Agarwal, Shahin Jabbari, Chirag Agarwal, Sohini Upadhyay, Steven Wu, Himabindu Lakkaraju

ALT 2020 On Learnability Wih Computable Learners Sushant Agarwal, Nivasini Ananthakrishnan, Shai Ben-David, Tosca Lechner, Ruth Urner

AAAI 1999 PROVERB: The Probabilistic Cruciverbalist Greg A. Keim, Noam M. Shazeer, Michael L. Littman, Sushant Agarwal, Catherine M. Cheves, Joseph Fitzgerald, Jason Grosland, Fan Jiang, Shannon Pollard, Karl Weinmeister