matching market

Bandit Learning in Housing Markets AAAI 2026 A Survey on Bandit Learning in Matching Markets IJCAI 2025 Bandit Learning in Matching Markets with Indifference ICLR 2025 MatchXplain: Analyzing Preferences, Explaining Outcomes, and Simplifying Decisions IJCAI 2025 MATWA: A Web Toolkit for Matching Under Preferences AAAI 2025 Probabilistic Analysis of Stable Matching in Large Markets with Siblings IJCAI 2025 Improved Analysis for Bandit Learning in Matching Markets NeurIPS 2024 Monoculture in Matching Markets NeurIPS 2024 Strategic Aspects of Stable Matching Markets: A Survey IJCAI 2024 Competing Bandits in Time Varying Matching Markets L4DC 2023 Strategic Behavior in Two-sided Matching Markets with Prediction-enhanced Preference-formation NeurIPS 2023 Decentralized, Communication- and Coordination-free Learning in Structured Matching Markets NeurIPS 2022 Dynamic Learning in Large Matching Markets NeurIPS 2022 Learn to Match with No Regret: Reinforcement Learning in Markov Matching Markets NeurIPS 2022 Regret, stability & fairness in matching markets with bandit learners AISTATS 2022 Simple and Optimal Greedy Online Contention Resolution Schemes NeurIPS 2022 The Dichotomous Affiliate Stable Matching Problem: Approval-Based Matching with Applicant-Employer Relations IJCAI 2022 Theory of and Experiments on Minimally Invasive Stability Preservation in Changing Two-Sided Matching Markets AAAI 2022 Thompson Sampling for Bandit Learning in Matching Markets IJCAI 2022 Two for One & One for All: Two-Sided Manipulation in Matching Markets IJCAI 2022 Beyond $log^2(T)$ regret for decentralized bandits in matching markets ICML 2021 Learning Equilibria in Matching Markets from Bandit Feedback NeurIPS 2021 Learning in Multi-Stage Decentralized Matching Markets NeurIPS 2021 Learning Strategies in Decentralized Matching Markets under Uncertain Preferences JMLR 2021 A Unified Model for the Two-stage Offline-then-Online Resource Allocation IJCAI 2020