Sushant Agarwal

5 papers · 2020–2025 · 4 venues · across top CS/AI venues

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Achievements

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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze ❓ The Questioner

Venues

ICML (2) ALT (1) COLT (1) UAI (1)

Top co-authors

Shai Ben-David (2) Nivasini Ananthakrishnan (2) Tosca Lechner (2) Ruth Urner (2) Rajmohan Rajaraman (1) Chirag Agarwal (1) Himabindu Lakkaraju (1) Rishi Saket (1) Yukti Makhija (1) Shahin Jabbari (1)

Research topics

Machine Learning (3) Optimization & Theory (2) Artificial Intelligence (1) Deep Learning (1) Mathematics & Optimization (1) Application Areas (1) Core AI (1) Core Methods (1) Learning Types · Machine Learning (1) Learning Types · Deep Learning (1) Mathematics (1)

Keywords

k-means clustering (1) pac learning (1) gradient based methods (1) generalized linear model (1) fairness constraint (1) learning from label proportion (1) demographic parity (1) label differential privacy (1) adversarial noise (1) equal opportunity (1) perturbation-based method (1) closed-form expression (1) computable learner (1) binary hypothesis class (1) cpac learnability (1) multiple instance regression (1) predictive equality (1) randomized fair boc (1)

Papers

Aggregating Data for Optimal Learning UAI 2025 Optimal Fair Learning Robust to Adversarial Distribution Shift ICML 2025 Open Problem: Are all VC-classes CPAC learnable? COLT 2021 Towards the Unification and Robustness of Perturbation and Gradient Based Explanations ICML 2021 On Learnability wih Computable Learners ALT 2020