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Eric Mazumdar

19 papers · 2019–2025 · 6 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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+7 more ↓ πŸ—ΊοΈ Taxonomy Completionist (32) πŸƒ Academic Marathon Β· Sprint 🌍 Conference Polyglot Β· Silver πŸŒ‰ Interdisciplinary Bridge Β· Silver 🐣 Hot Topic Early Bird
🧬 Topic Evolution πŸš€ Conference Pioneer πŸ”₯ Unstoppable Β· Bronze ❓ The Questioner ⚑ Prolific Year Β· Productive πŸ’Ž Century Club Β· Bronze πŸ—ƒοΈ Keyword Collector (109)

Venues

NeurIPS (8) ICML (6) ICLR (2) AISTATS (1) L4DC (1) UAI (1)

Top co-authors

Adam Wierman (6) Laixi Shi (5) Lillian Ratliff (4) Shankar Sastry (3) Yuejie Chi (3) Chinmay Maheshwari (2) Tijana Zrnic (2) Yian Ma (2) Zaiwei Chen (2) Kishan Panaganti (2)

Research topics

Machine Learning (14) Optimization & Theory (12) Artificial Intelligence (10) Mathematics & Optimization (10) Core AI (10) Optimization (10) Reinforcement Learning (8) Methods (7) Learning Types (6) Applications (2) Core Methods (1)

Keywords

game theory (5) multi-agent system (4) strategic classification (3) multi-agent reinforcement learning (3) robust reinforcement learning (2) sample complexity (2) nash equilibrium (2) zero-sum game (2) generative model (2) robust markov game (2) regret bound (2) uncertainty set (2) convergence analysis (1) online learning (1) behavioral economics (1) gradient-based optimization (1) model selection (1) bounded rationality (1) variational inequality (1) robust optimization (1)

Papers

Breaking the Curse of Multiagency in Robust Multi-Agent Reinforcement Learning ICML 2025 Learning to Steer Learners in Games ICML 2025 Robust Gymnasium: A Unified Modular Benchmark for Robust Reinforcement Learning ICLR 2025 Tractable Multi-Agent Reinforcement Learning through Behavioral Economics ICLR 2025 Last-Iterate Convergence for Generalized Frank-Wolfe in Monotone Variational Inequalities NeurIPS 2024 Model-Free Robust $Ο†$-Divergence Reinforcement Learning Using Both Offline and Online Data ICML 2024 Near-Optimal Distributionally Robust Reinforcement Learning with General L_p Norms NeurIPS 2024 Sample-Efficient Robust Multi-Agent Reinforcement Learning in the Face of Environmental Uncertainty ICML 2024 Understanding Model Selection for Learning in Strategic Environments NeurIPS 2024 A Finite-Sample Analysis of Payoff-Based Independent Learning in Zero-Sum Stochastic Games NeurIPS 2023 Algorithmic Collective Action in Machine Learning ICML 2023 Designing System Level Synthesis Controllers for Nonlinear Systems with Stability Guarantees L4DC 2023 Strategic Distribution Shift of Interacting Agents via Coupled Gradient Flows NeurIPS 2023 Decentralized, Communication- and Coordination-free Learning in Structured Matching Markets NeurIPS 2022 Zeroth-Order Methods for Convex-Concave Min-max Problems: Applications to Decision-Dependent Risk Minimization AISTATS 2022 Global Convergence to Local Minmax Equilibrium in Classes of Nonconvex Zero-Sum Games NeurIPS 2021 Who Leads and Who Follows in Strategic Classification? NeurIPS 2021 On Approximate Thompson Sampling with Langevin Algorithms ICML 2020 Convergence Analysis of Gradient-Based Learning in Continuous Games UAI 2019