Game Theory

No-Regret Learning of Nash Equilibrium for Black-Box Games via Gaussian Processes UAI 2024 Online Information Acquisition: Hiring Multiple Agents ICLR 2024 Online Stackelberg Optimization via Nonlinear Control COLT 2024 Open problem: Convergence of single-timescale mean-field Langevin descent-ascent for two-player zero-sum games COLT 2024 Sample-Efficient Multi-Agent RL: An Optimization Perspective ICLR 2024 Symmetric Mean-field Langevin Dynamics for Distributional Minimax Problems ICLR 2024 The complexity of approximate (coarse) correlated equilibrium for incomplete information games COLT 2024 A Quantitative Game-theoretical Study on Externalities of Long-lasting Humanitarian Relief Operations in Conflict Areas IJCAI 2023 Asynchronous Gradient Play in Zero-Sum Multi-agent Games ICLR 2023 Bitrate-Constrained DRO: Beyond Worst Case Robustness To Unknown Group Shifts ICLR 2023 Can We Find Nash Equilibria at a Linear Rate in Markov Games? ICLR 2023 Competitive Physics Informed Networks ICLR 2023 Efficiently Computing Nash Equilibria in Adversarial Team Markov Games ICLR 2023 Incentivizing Honesty among Competitors in Collaborative Learning and Optimization NeurIPS 2023 Learning Rationalizable Equilibria in Multiplayer Games ICLR 2023 Modeling content creator incentives on algorithm-curated platforms ICLR 2023 Payoff-based Learning with Matrix Multiplicative Weights in Quantum Games NeurIPS 2023 Repeated Bilateral Trade Against a Smoothed Adversary COLT 2023 STay-ON-the-Ridge: Guaranteed Convergence to Local Minimax Equilibrium in Nonconvex-Nonconcave Games COLT 2023 Stochastic No-regret Learning for General Games with Variance Reduction ICLR 2023 Strategic Classification under Unknown Personalized Manipulation NeurIPS 2023 Strategyproofness and Proportionality in Party-Approval Multiwinner Elections AAAI 2023 The Complexity of Markov Equilibrium in Stochastic Games COLT 2023 The Power of Regularization in Solving Extensive-Form Games ICLR 2023 An Algorithmic Introduction to Savings Circles AAAI 2022