Optimal Order Simple Regret for Gaussian Process Bandits

20 August 2021

Papers citing "Optimal Order Simple Regret for Gaussian Process Bandits"

11 / 11 papers shown

Title
Improved Regret Analysis in Gaussian Process Bandits: Optimality for Noiseless Reward, RKHS norm, and Non-Stationary Variance S. Iwazaki Shion Takeno 76 1 0 10 Feb 2025
Distributed Thompson sampling under constrained communication Saba Zerefa Zhaolin Ren Haitong Ma Na Li 28 1 0 03 Jan 2025
Graph Neural Thompson Sampling Shuang Wu Arash A. Amini 33 0 0 15 Jun 2024
Distributionally Robust Model-based Reinforcement Learning with Large State Spaces Shyam Sundhar Ramesh Pier Giuseppe Sessa Yifan Hu Andreas Krause Ilija Bogunovic OOD 26 10 0 05 Sep 2023
Sample Complexity of Kernel-Based Q-Learning Sing-Yuan Yeh Fu-Chieh Chang Chang-Wei Yueh Pei-Yuan Wu A. Bernacchia Sattar Vakili OffRL 11 4 0 01 Feb 2023
(Private) Kernelized Bandits with Distributed Biased Feedback Fengjiao Li Xingyu Zhou Bo Ji 12 5 0 28 Jan 2023
Collaborative Learning in Kernel-based Bandits for Distributed Users Sudeep Salgia Sattar Vakili Qing Zhao FedML 17 6 0 16 Jul 2022
Graph Neural Network Bandits Parnian Kassraie Andreas Krause Ilija Bogunovic 16 11 0 13 Jul 2022
Collaborative Pure Exploration in Kernel Bandit Yihan Du Wei Chen Yuko Kuroki Longbo Huang 18 10 0 29 Oct 2021
Max-value Entropy Search for Efficient Bayesian Optimization Zi Wang Stefanie Jegelka 110 401 0 06 Mar 2017
Truncated Variance Reduction: A Unified Approach to Bayesian Optimization and Level-Set Estimation Ilija Bogunovic Jonathan Scarlett Andreas Krause V. Cevher 56 89 0 24 Oct 2016