Game Theory

Getting More by Knowing Less: Bayesian Incentive Compatible Mechanisms for Fair Division IJCAI 2024 How to Make Knockout Tournaments More Popular? AAAI 2024 Improved Analysis for Bandit Learning in Matching Markets NeurIPS 2024 Improved Metric Distortion via Threshold Approvals AAAI 2024 Improving SAM Requires Rethinking its Optimization Formulation ICML 2024 Incentivized Learning in Principal-Agent Bandit Games ICML 2024 Independence of Irrelevant Alternatives under the Lens of Pairwise Distortion AAAI 2024 Individual Rationality in Topological Distance Games Is Surprisingly Hard IJCAI 2024 Information Design for Congestion Games with Unknown Demand AAAI 2024 Inherent Trade-Offs between Diversity and Stability in Multi-Task Benchmarks ICML 2024 Is Knowledge Power? On the (Im)possibility of Learning from Strategic Interactions NeurIPS 2024 LEAP: Optimization Hierarchical Federated Learning on Non-IID Data with Coalition Formation Game IJCAI 2024 Learning Coalition Structures with Games AAAI 2024 Learning Equilibria in Adversarial Team Markov Games: A Nonconvex-Hidden-Concave Min-Max Optimization Problem NeurIPS 2024 Learning Fair Division from Bandit Feedback AISTATS 2024 Learning in Markov Games with Adaptive Adversaries: Policy Regret, Fundamental Barriers, and Efficient Algorithms NeurIPS 2024 Learning Nash Equilibria in Rank-1 Games ICLR 2024 Learning Regularized Graphon Mean-Field Games with Unknown Graphons JMLR 2024 Learning to Price Homogeneous Data NeurIPS 2024 Learning to Understand: Identifying Interactions via the Möbius Transform NeurIPS 2024 Local and Adaptive Mirror Descents in Extensive-Form Games NeurIPS 2024 Manipulation-Robust Selection of Citizens’ Assemblies AAAI 2024 Maxileximin Envy Allocations and Connected Goods AAAI 2024 Maximizing Nash Social Welfare under Two-Sided Preferences AAAI 2024 Maximizing utility in multi-agent environments by anticipating the behavior of other learners NeurIPS 2024