NEURIPS 2025 "thompson sampling" Papers
9 papers found
Adaptive Variance Inflation in Thompson Sampling: Efficiency, Safety, Robustness, and Beyond
Feng Zhu, David Simchi-Levi
NEURIPS 2025poster
Contextual Thompson Sampling via Generation of Missing Data
Kelly W Zhang, Tianhui Cai, Hongseok Namkoong et al.
NEURIPS 2025posterarXiv:2502.07064
2
citations
FedRTS: Federated Robust Pruning via Combinatorial Thompson Sampling
Hong Huang, Jinhai Yang, Yuan Chen et al.
NEURIPS 2025posterarXiv:2501.19122
4
citations
Feel-Good Thompson Sampling for Contextual Bandits: a Markov Chain Monte Carlo Showdown
Emile Anand, Sarah Liaw
NEURIPS 2025posterarXiv:2507.15290
1
citations
Generator-Mediated Bandits: Thompson Sampling for GenAI-Powered Adaptive Interventions
Marc Brooks, Gabriel Durham, Kihyuk Hong et al.
NEURIPS 2025posterarXiv:2505.16311
LaRes: Evolutionary Reinforcement Learning with LLM-based Adaptive Reward Search
Pengyi Li, Hongyao Tang, Jinbin Qiao et al.
NEURIPS 2025poster
No-Regret Thompson Sampling for Finite-Horizon Markov Decision Processes with Gaussian Processes
Jasmine Bayrooti, Sattar Vakili, Amanda Prorok et al.
NEURIPS 2025oralarXiv:2510.20725
Thompson Sampling in Function Spaces via Neural Operators
Rafael Oliveira, Xuesong Wang, Kian Ming Chai et al.
NEURIPS 2025posterarXiv:2506.21894
Variance-Aware Feel-Good Thompson Sampling for Contextual Bandits
Xuheng Li, Quanquan Gu
NEURIPS 2025posterarXiv:2511.02123