Information Directed Sampling and Bandits with Heteroscedastic Noise

29 January 2018

Papers citing "Information Directed Sampling and Bandits with Heteroscedastic Noise"

29 / 29 papers shown

Title
Improved Regret Analysis in Gaussian Process Bandits: Optimality for Noiseless Reward, RKHS norm, and Non-Stationary Variance S. Iwazaki Shion Takeno 78 1 0 10 Feb 2025
Second Order Bounds for Contextual Bandits with Function Approximation Aldo Pacchiano 59 4 0 24 Sep 2024
A Unified Confidence Sequence for Generalized Linear Models, with Applications to Bandits Junghyun Lee Se-Young Yun Kwang-Sung Jun 33 4 0 19 Jul 2024
Variance-Dependent Regret Bounds for Non-stationary Linear Bandits Zhiyong Wang Jize Xie Yi Chen J. C. Lui Dongruo Zhou 28 0 0 15 Mar 2024
TS-RSR: A provably efficient approach for batch bayesian optimization Zhaolin Ren Na Li 31 2 0 07 Mar 2024
BOF-UCB: A Bayesian-Optimistic Frequentist Algorithm for Non-Stationary Contextual Bandits Nicklas Werge Abdullah Akgul M. Kandemir 38 0 0 07 Jul 2023
Geometry-Aware Approaches for Balancing Performance and Theoretical Guarantees in Linear Bandits Yuwei Luo Mohsen Bayati 21 1 0 26 Jun 2023
Provably Efficient Reinforcement Learning via Surprise Bound Hanlin Zhu Ruosong Wang Jason D. Lee OffRL 28 5 0 22 Feb 2023
SPEED: Experimental Design for Policy Evaluation in Linear Heteroscedastic Bandits Subhojyoti Mukherjee Qiaomin Xie Josiah P. Hanna R. Nowak OffRL 53 5 0 29 Jan 2023
Nearly Minimax Optimal Reinforcement Learning for Linear Markov Decision Processes Jiafan He Heyang Zhao Dongruo Zhou Quanquan Gu OffRL 51 53 0 12 Dec 2022
Movement Penalized Bayesian Optimization with Application to Wind Energy Systems Shyam Sundhar Ramesh Pier Giuseppe Sessa Andreas Krause Ilija Bogunovic 16 12 0 14 Oct 2022
Active Exploration via Experiment Design in Markov Chains Mojmír Mutný Tadeusz Janik Andreas Krause 41 14 0 29 Jun 2022
Lifting the Information Ratio: An Information-Theoretic Analysis of Thompson Sampling for Contextual Bandits Gergely Neu Julia Olkhovskaya Matteo Papini Ludovic Schwartz 33 16 0 27 May 2022
Nearly Optimal Algorithms for Linear Contextual Bandits with Adversarial Corruptions Jiafan He Dongruo Zhou Tong Zhang Quanquan Gu 66 46 0 13 May 2022
Truncated LinUCB for Stochastic Linear Bandits Yanglei Song Meng zhou 49 0 0 23 Feb 2022
Bayesian Optimization for Distributionally Robust Chance-constrained Problem Yu Inatsu Shion Takeno Masayuki Karasuyama Ichiro Takeuchi 28 13 0 31 Jan 2022
Linear Contextual Bandits with Adversarial Corruptions Heyang Zhao Dongruo Zhou Quanquan Gu AAML 33 24 0 25 Oct 2021
Apple Tasting Revisited: Bayesian Approaches to Partially Monitored Online Binary Classification James A. Grant David S. Leslie 44 3 0 29 Sep 2021
Exploration in Deep Reinforcement Learning: From Single-Agent to Multiagent Domain Jianye Hao Tianpei Yang Hongyao Tang Chenjia Bai Jinyi Liu Zhaopeng Meng Peng Liu Zhen Wang OffRL 36 93 0 14 Sep 2021
Metalearning Linear Bandits by Prior Update Amit Peleg Naama Pearl Ron Meir 37 18 0 12 Jul 2021
Information Directed Sampling for Sparse Linear Bandits Botao Hao Tor Lattimore Wei Deng 25 19 0 29 May 2021
Near-optimal Policy Optimization Algorithms for Learning Adversarial Linear Mixture MDPs Jiafan He Dongruo Zhou Quanquan Gu 95 23 0 17 Feb 2021
Mean-Variance Analysis in Bayesian Optimization under Uncertainty S. Iwazaki Yu Inatsu Ichiro Takeuchi 34 33 0 17 Sep 2020
Efficient Model-Based Reinforcement Learning through Optimistic Policy Search and Planning Sebastian Curi Felix Berkenkamp Andreas Krause 33 82 0 15 Jun 2020
Information Directed Sampling for Linear Partial Monitoring Johannes Kirschner Tor Lattimore Andreas Krause 24 46 0 25 Feb 2020
Distributionally Robust Bayesian Optimization Johannes Kirschner Ilija Bogunovic Stefanie Jegelka Andreas Krause 30 77 0 20 Feb 2020
Weighted Linear Bandits for Non-Stationary Environments Yoan Russac Claire Vernade Olivier Cappé 82 101 0 19 Sep 2019
Stochastic Bandits with Context Distributions Johannes Kirschner Andreas Krause 29 30 0 06 Jun 2019
Max-value Entropy Search for Efficient Bayesian Optimization Zi Wang Stefanie Jegelka 110 403 0 06 Mar 2017