Game Theory

Characterization of Incentive Compatibility of an Ex-ante Constrained Player AAAI 2022 EigenGame Unloaded: When playing games is better than optimizing ICLR 2022 Explainable Shapley-Based Allocation (Student Abstract) AAAI 2022 Fair and Efficient Allocations Without Obvious Manipulations NeurIPS 2022 Faster online calibration without randomization: interval forecasts and the power of two choices COLT 2022 From Intervention to Domain Transportation: A Novel Perspective to Optimize Recommendation ICLR 2022 Generalized Natural Gradient Flows in Hidden Convex-Concave Games and GANs ICLR 2022 Incentivizing Collaboration in Machine Learning via Synthetic Data Rewards AAAI 2022 Learning to Mediate Disparities Towards Pragmatic Communication ACL 2022 Learning Two-Player Markov Games: Neural Function Approximation and Correlated Equilibrium NeurIPS 2022 Maximizing Nash Social Welfare in 2-Value Instances AAAI 2022 Picking the Right Winner: Why Tie-Breaking in Crowdsourcing Contests Matters IJCAI 2022 Provably convergent quasistatic dynamics for mean-field two-player zero-sum games ICLR 2022 Sample Efficient Stochastic Policy Extragradient Algorithm for Zero-Sum Markov Game ICLR 2022 Strategizing against Learners in Bayesian Games COLT 2022 Strictly Proper Contract Functions Can Be Arbitrage-Free AAAI 2022 The Evolution of Uncertainty of Learning in Games ICLR 2022 Universal and Tight Online Algorithms for Generalized-Mean Welfare AAAI 2022 When Can We Learn General-Sum Markov Games with a Large Number of Players Sample-Efficiently? ICLR 2022 Adaptive Learning in Continuous Games: Optimal Regret Bounds and Convergence to Nash Equilibrium COLT 2021 Chaos of Learning Beyond Zero-sum and Coordination via Game Decompositions ICLR 2021 Global Convergence to Local Minmax Equilibrium in Classes of Nonconvex Zero-Sum Games NeurIPS 2021 Human-Level Performance in No-Press Diplomacy via Equilibrium Search ICLR 2021 Last-iterate Convergence of Decentralized Optimistic Gradient Descent/Ascent in Infinite-horizon Competitive Markov Games COLT 2021 Learning in Matrix Games can be Arbitrarily Complex COLT 2021