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thompson sampling

237 papers

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TS

Co-occurring keywords

regret bound (1926) multi-armed bandit (1098) bayesian optimization (624) online learning (1777) contextual bandit (381) bayesian inference (1907) upper confidence bound (197) bayesian regret (33) reinforcement learning (4352) posterior distribution (259)

Papers

No Regrets for Learning the Prior in Bandits NIPS 2021
Multi-Armed Bandits with Cost Subsidy AISTATS 2021
The Hardness Analysis of Thompson Sampling for Combinatorial Semi-bandits with Greedy Oracle NIPS 2021
Online Multi-Armed Bandits with Adaptive Inference NIPS 2021
Optimizing Conditional Value-At-Risk of Black-Box Functions NIPS 2021
Scalable Thompson Sampling using Sparse Gaussian Process Models NIPS 2021
Bayesian decision-making under misspecified priors with applications to meta-learning NIPS 2021
Computing an Efficient Exploration Basis for Learning with Univariate Polynomial Features AAAI 2021
Doubly Robust Thompson Sampling with Linear Payoffs NIPS 2021
Deciding What to Learn: A Rate-Distortion Approach ICML 2021
Mercer Features for Efficient Combinatorial Bayesian Optimization AAAI 2021
Reinforcement Learning with Trajectory Feedback AAAI 2021
Improved Worst-Case Regret Bounds for Randomized Least-Squares Value Iteration AAAI 2021
Efficient Optimal Selection for Composited Advertising Creatives with Tree Structure AAAI 2021
Combining Reinforcement Learning and Constraint Programming for Combinatorial Optimization AAAI 2021
Thompson Sampling for Bandits with Clustered Arms IJCAI 2021
Variational Bayesian Optimistic Sampling NIPS 2021
MOTS: Minimax Optimal Thompson Sampling ICML 2021
Parallelizing Thompson Sampling NIPS 2021
A Closer Look at the Worst-case Behavior of Multi-armed Bandit Algorithms NIPS 2021
Differentially Private Federated Bayesian Optimization with Distributed Exploration NIPS 2021
Asynchronous $ε$-Greedy Bayesian Optimisation UAI 2021
A Provably Efficient Model-Free Posterior Sampling Method for Episodic Reinforcement Learning NIPS 2021
Deep Bandits Show-Off: Simple and Efficient Exploration with Deep Networks NIPS 2021
Lenient Regret for Multi-Armed Bandits AAAI 2021