Eric Mazumdar
19 papers · 2019–2025 · 6 conferences · across top CS/AI conferences
Achievements
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The Questioner
Conferences
NIPS (8)
ICML (6)
ICLR (2)
AISTATS (1)
L4DC (1)
UAI (1)
Top co-authors
Keywords
game theory
(5)
multi-agent system
(4)
strategic classification
(3)
regret bound
(2)
model selection
(1)
online learning
(1)
multi-agent reinforcement learning
(1)
gradient-based optimization
(1)
robust optimization
(1)
convergence analysis
(1)
sample complexity
(1)
distributed learning
(1)
robust reinforcement learning
(1)
strategic manipulation
(1)
strategic decision-making
(1)
variational inequality
(1)
nash equilibrium
(1)
multi-agent learning
(1)
nonlinear control
(1)
markov decision process
(1)
Papers
Tractable Multi-Agent Reinforcement Learning through Behavioral Economics
ICLR 2025
Learning to Steer Learners in Games
ICML 2025
Breaking the Curse of Multiagency in Robust Multi-Agent Reinforcement Learning
ICML 2025
Robust Gymnasium: A Unified Modular Benchmark for Robust Reinforcement Learning
ICLR 2025
Sample-Efficient Robust Multi-Agent Reinforcement Learning in the Face of Environmental Uncertainty
ICML 2024
Near-Optimal Distributionally Robust Reinforcement Learning with General $L_p$ Norms
NIPS 2024
Understanding Model Selection for Learning in Strategic Environments
NIPS 2024
Last-Iterate Convergence for Generalized Frank-Wolfe in Monotone Variational Inequalities
NIPS 2024
Model-Free Robust $φ$-Divergence Reinforcement Learning Using Both Offline and Online Data
ICML 2024
A Finite-Sample Analysis of Payoff-Based Independent Learning in Zero-Sum Stochastic Games
NIPS 2023
Strategic Distribution Shift of Interacting Agents via Coupled Gradient Flows
NIPS 2023
Designing System Level Synthesis Controllers for Nonlinear Systems with Stability Guarantees
L4DC 2023
Algorithmic Collective Action in Machine Learning
ICML 2023
Decentralized, Communication- and Coordination-free Learning in Structured Matching Markets
NIPS 2022
Zeroth-Order Methods for Convex-Concave Min-max Problems: Applications to Decision-Dependent Risk Minimization
AISTATS 2022
Who Leads and Who Follows in Strategic Classification?
NIPS 2021
Global Convergence to Local Minmax Equilibrium in Classes of Nonconvex Zero-Sum Games
NIPS 2021
On Approximate Thompson Sampling with Langevin Algorithms
ICML 2020
Convergence Analysis of Gradient-Based Learning in Continuous Games
UAI 2019