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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

Latent Bandits Revisited NIPS 2020
Federated Bayesian Optimization via Thompson Sampling NIPS 2020
Fixed-confidence guarantees for Bayesian best-arm identification AISTATS 2020
Randomized Exploration in Generalized Linear Bandits AISTATS 2020
The Intrinsic Robustness of Stochastic Bandits to Strategic Manipulation ICML 2020
Graphical Models Meet Bandits: A Variational Thompson Sampling Approach ICML 2020
Random Hypervolume Scalarizations for Provable Multi-Objective Black Box Optimization ICML 2020
Thompson Sampling Algorithms for Mean-Variance Bandits ICML 2020
First-Order Bayesian Regret Analysis of Thompson Sampling ALT 2020
Thompson Sampling for Adversarial Bit Prediction ALT 2020
Feedback graph regret bounds for Thompson Sampling and UCB ALT 2020
Solving Bernoulli Rank-One Bandits with Unimodal Thompson Sampling ALT 2020
Bandit Algorithms Based on Thompson Sampling for Bounded Reward Distributions ALT 2020
Thompson Sampling for Linearly Constrained Bandits AISTATS 2020
Randomized Value Functions via Multiplicative Normalizing Flows UAI 2019
Adaptive Sensor Placement for Continuous Spaces ICML 2019
Information-Theoretic Confidence Bounds for Reinforcement Learning NIPS 2019
Thompson Sampling with Information Relaxation Penalties NIPS 2019
On the Performance of Thompson Sampling on Logistic Bandits COLT 2019
Problem-dependent Regret Bounds for Online Learning with Feedback Graphs UAI 2019
Thompson Sampling Guided Stochastic Searching on the Line for Deceptive Environments with Applications to Root-Finding Problems JMLR 2019
Marginal Posterior Sampling for Slate Bandits IJCAI 2019
AutoSeM: Automatic Task Selection and Mixing in Multi-Task Learning NAACL 2019
Scalable Thompson Sampling via Optimal Transport AISTATS 2019
Thompson Sampling and Approximate Inference NIPS 2019