MOTS: Minimax Optimal Thompson Sampling

MOTS: Minimax Optimal Thompson Sampling

3 March 2020

Quanquan Gu

Papers citing "MOTS: Minimax Optimal Thompson Sampling"

10 / 10 papers shown

Title
Connecting Thompson Sampling and UCB: Towards More Efficient Trade-offs Between Privacy and Regret Bingshan Hu Zhiming Huang Tianyue H. Zhang Mathias Lécuyer Nidhi Hegde 17 0 0 05 May 2025
Constrained Exploration via Reflected Replica Exchange Stochastic Gradient Langevin Dynamics Haoyang Zheng Hengrong Du Qi Feng Wei Deng Guang Lin 44 4 0 13 May 2024
Efficient and Adaptive Posterior Sampling Algorithms for Bandits Bingshan Hu Zhiming Huang Tianyue H. Zhang Mathias Lécuyer Nidhi Hegde 23 0 0 02 May 2024
Multi-Armed Bandits with Abstention Junwen Yang Tianyuan Jin Vincent Y. F. Tan 31 0 0 23 Feb 2024
Zero-Inflated Bandits Haoyu Wei Runzhe Wan Lei Shi Rui Song 42 0 0 25 Dec 2023
VITS : Variational Inference Thompson Sampling for contextual bandits Pierre Clavier Tom Huix Alain Durmus 29 3 0 19 Jul 2023
Kullback-Leibler Maillard Sampling for Multi-armed Bandits with Bounded Rewards Hao Qin Kwang-Sung Jun Chicheng Zhang 41 0 0 28 Apr 2023
Batched Thompson Sampling for Multi-Armed Bandits Nikolai Karpov Qin Zhang 14 4 0 15 Aug 2021
Bandit Algorithms for Precision Medicine Yangyi Lu Ziping Xu Ambuj Tewari 63 11 0 10 Aug 2021
On Bayesian index policies for sequential resource allocation E. Kaufmann 41 84 0 06 Jan 2016