Poster "thompson sampling" Papers

15 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

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

$\mathtt{VITS}$ : Variational Inference Thompson Sampling for contextual bandits

Pierre Clavier, Tom Huix, Alain Oliviero Durmus

ICML 2024poster

A Bayesian Approach to Online Planning

Nir Greshler, David Ben Eli, Carmel Rabinovitz et al.

ICML 2024poster

Efficient Exploration for LLMs

Vikranth Dwaracherla, Seyed Mohammad Asghari, Botao Hao et al.

ICML 2024poster

Feel-Good Thompson Sampling for Contextual Dueling Bandits

Xuheng Li, Heyang Zhao, Quanquan Gu

ICML 2024poster

Posterior Sampling-Based Bayesian Optimization with Tighter Bayesian Regret Bounds

Shion Takeno, Yu Inatsu, Masayuki Karasuyama et al.

ICML 2024poster

ReLU to the Rescue: Improve Your On-Policy Actor-Critic with Positive Advantages

Andrew Jesson, Christopher Lu, Gunshi Gupta et al.

ICML 2024poster

Two-sided Competing Matching Recommendation Markets With Quota and Complementary Preferences Constraints

Yuantong Li, Guang Cheng, Xiaowu Dai

ICML 2024poster