Thompson Sampling for Bandit Learning in Matching Markets

v1v2 (latest)

Thompson Sampling for Bandit Learning in Matching Markets

26 April 2022

ArXiv (abs)PDF HTML

Papers citing "Thompson Sampling for Bandit Learning in Matching Markets"

9 / 9 papers shown

Title
Learning Equilibria in Matching Games with Bandit Feedback Andreas Athanasopoulos Christos Dimitrakakis 67 0 0 04 Jun 2025
Probabilistic Analysis of Stable Matching in Large Markets with Siblings Zhaohong Sun Tomohiko Yokoyama Makoto Yokoo 78 0 0 22 Jan 2025
DiffusionFake: Enhancing Generalization in Deepfake Detection via Guided Stable Diffusion Ke Sun Shen Chen Taiping Yao Hong Liu Xiaoshuai Sun Shouhong Ding Rongrong Ji DiffM 76 12 0 06 Oct 2024
Improved Bandits in Many-to-one Matching Markets with Incentive Compatibility Fang-yuan Kong Shuai Li 12 7 0 03 Jan 2024
Player-optimal Stable Regret for Bandit Learning in Matching Markets Fang-yuan Kong Shuai Li 65 13 0 20 Jul 2023
Converging to Stability in Two-Sided Bandits: The Case of Unknown Preferences on Both Sides of a Matching Market Gaurab Pokharel Sanmay Das 76 6 0 13 Feb 2023
Two-sided Competing Matching Recommendation Markets With Quota and Complementary Preferences Constraints Yuantong Li Guang Cheng Xiaowu Dai 108 7 0 24 Jan 2023
Competing Bandits in Time Varying Matching Markets Deepan Muthirayan C. Maheshwari Pramod P. Khargonekar S. Shankar Sastry 82 3 0 21 Oct 2022
Decentralized, Communication- and Coordination-free Learning in Structured Matching Markets C. Maheshwari Eric Mazumdar S. Shankar Sastry 50 14 0 06 Jun 2022