2025 Poster "thompson sampling" Papers

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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

Efficient Model-Based Reinforcement Learning Through Optimistic Thompson Sampling

Jasmine Bayrooti, Carl Ek, Amanda Prorok

ICLR 2025posterarXiv:2410.04988
3
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

Geometry-Aware Approaches for Balancing Performance and Theoretical Guarantees in Linear Bandits

Yuwei Luo, Mohsen Bayati

ICLR 2025posterarXiv:2306.14872
2
citations

Variance-Aware Feel-Good Thompson Sampling for Contextual Bandits

Xuheng Li, Quanquan Gu

NeurIPS 2025posterarXiv:2511.02123