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Learning Strategies in Decentralized Matching Markets under Uncertain
  Preferences
v1v2 (latest)

Learning Strategies in Decentralized Matching Markets under Uncertain Preferences

Journal of machine learning research (JMLR), 2020
29 October 2020
Xiaowu Dai
Sai Li
ArXiv (abs)PDFHTML

Papers citing "Learning Strategies in Decentralized Matching Markets under Uncertain Preferences"

13 / 13 papers shown
Learn then Decide: A Learning Approach for Designing Data Marketplaces
Learn then Decide: A Learning Approach for Designing Data Marketplaces
Yingqi Gao
Jin J. Zhou
Hua Zhou
Yuxiao Chen
Xiaowu Dai
Xiaowu Dai
307
1
0
13 Mar 2025
Wasserstein gradient flow for optimal probability measure decomposition
Wasserstein gradient flow for optimal probability measure decomposition
Jiangze Han
Chris Ryan
Xin T. Tong
283
2
0
03 Jun 2024
Online Auction Design Using Distribution-Free Uncertainty Quantification with Applications to E-Commerce
Online Auction Design Using Distribution-Free Uncertainty Quantification with Applications to E-Commerce
Jiale Han
Xiaowu Dai
393
3
0
11 May 2024
Player-optimal Stable Regret for Bandit Learning in Matching Markets
Player-optimal Stable Regret for Bandit Learning in Matching MarketsACM-SIAM Symposium on Discrete Algorithms (SODA), 2023
Fang-yuan Kong
Shuai Li
401
21
0
20 Jul 2023
An ODE Model for Dynamic Matching in Heterogeneous Networks
An ODE Model for Dynamic Matching in Heterogeneous Networks
Xiaowu Dai
Heng He
358
0
0
20 Feb 2023
A Robust Multi-Item Auction Design with Statistical Learning
A Robust Multi-Item Auction Design with Statistical Learning
Jiale Han
Xiaowu Dai
289
1
0
02 Feb 2023
Two-sided Competing Matching Recommendation Markets With Quota and
  Complementary Preferences Constraints
Two-sided Competing Matching Recommendation Markets With Quota and Complementary Preferences ConstraintsInternational Conference on Machine Learning (ICML), 2023
Yuantong Li
Guang Cheng
Xiaowu Dai
465
8
0
24 Jan 2023
Incentive-Aware Recommender Systems in Two-Sided Markets
Incentive-Aware Recommender Systems in Two-Sided Markets
Xiaowu Dai
Wenlu Xu
Yuan Qi
Michael I. Jordan
188
6
0
23 Nov 2022
Decentralized Competing Bandits in Non-Stationary Matching Markets
Decentralized Competing Bandits in Non-Stationary Matching Markets
Avishek Ghosh
Abishek Sankararaman
Kannan Ramchandran
T. Javidi
A. Mazumdar
238
7
0
31 May 2022
Pessimism meets VCG: Learning Dynamic Mechanism Design via Offline
  Reinforcement Learning
Pessimism meets VCG: Learning Dynamic Mechanism Design via Offline Reinforcement LearningInternational Conference on Machine Learning (ICML), 2022
Boxiang Lyu
Zhaoran Wang
Mladen Kolar
Zhuoran Yang
OffRL
290
9
0
05 May 2022
Thompson Sampling for Bandit Learning in Matching Markets
Thompson Sampling for Bandit Learning in Matching MarketsInternational Joint Conference on Artificial Intelligence (IJCAI), 2022
Fang-yuan Kong
Junming Yin
Shuaiqi Li
228
23
0
26 Apr 2022
Beyond $\log^2(T)$ Regret for Decentralized Bandits in Matching Markets
Beyond log⁡2(T)\log^2(T)log2(T) Regret for Decentralized Bandits in Matching MarketsInternational Conference on Machine Learning (ICML), 2021
Soumya Basu
Karthik Abinav Sankararaman
Abishek Sankararaman
191
45
0
12 Mar 2021
Learning in Multi-Stage Decentralized Matching Markets
Learning in Multi-Stage Decentralized Matching MarketsNeural Information Processing Systems (NeurIPS), 2021
Xiaowu Dai
Sai Li
230
20
0
13 Feb 2021
1
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