Game Theory

Statistical Inference and A/B Testing for First-Price Pacing Equilibria ICML 2023 Strategic Behavior in Two-sided Matching Markets with Prediction-enhanced Preference-formation NeurIPS 2023 Strategyproofness and Proportionality in Party-Approval Multiwinner Elections AAAI 2023 Supply-Side Equilibria in Recommender Systems NeurIPS 2023 Team Belief DAG: Generalizing the Sequence Form to Team Games for Fast Computation of Correlated Team Max-Min Equilibria via Regret Minimization ICML 2023 Tighter Robust Upper Bounds for Options via No-Regret Learning AAAI 2023 Topological Distance Games AAAI 2023 Towards Characterizing the First-order Query Complexity of Learning (Approximate) Nash Equilibria in Zero-sum Matrix Games NeurIPS 2023 Triple Eagle: Simple, Fast and Practical Budget-Feasible Mechanisms NeurIPS 2023 Truthful Mechanisms for Steiner Tree Problems AAAI 2023 Two-Scale Gradient Descent Ascent Dynamics Finds Mixed Nash Equilibria of Continuous Games: A Mean-Field Perspective ICML 2023 Utility Maximizer or Value Maximizer: Mechanism Design for Mixed Bidders in Online Advertising AAAI 2023 VCG Mechanism Design with Unknown Agent Values under Stochastic Bandit Feedback JMLR 2023 Vote’n’Rank: Revision of Benchmarking with Social Choice Theory EACL 2023 A Bandit Model for Human-Machine Decision Making with Private Information and Opacity AISTATS 2022 A Convergent and Dimension-Independent Min-Max Optimization Algorithm ICML 2022 Adversarial Attacks on Gaussian Process Bandits ICML 2022 Almost Full EFX Exists for Four Agents AAAI 2022 Alternating Mirror Descent for Constrained Min-Max Games NeurIPS 2022 An Algorithmic Theory of Markets and Their Application to Decentralized Markets AAAI 2022 Anytime Capacity Expansion in Medical Residency Match by Monte Carlo Tree Search IJCAI 2022 Approval-Based Committee Voting under Incomplete Information AAAI 2022 A Regret Minimization Approach to Multi-Agent Control ICML 2022 A Self-Play Posterior Sampling Algorithm for Zero-Sum Markov Games ICML 2022 AutoCFR: Learning to Design Counterfactual Regret Minimization Algorithms AAAI 2022