Gaussian Process Bandit Optimization with Few Batches

15 October 2021

Papers citing "Gaussian Process Bandit Optimization with Few Batches"

12 / 12 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
Constrained Multi-objective Bayesian Optimization through Optimistic Constraints Estimation Diantong Li Fengxue Zhang Chong Liu Yuxin Chen 146 0 0 06 Nov 2024
Lower Bounds for Time-Varying Kernelized Bandits Xu Cai Jonathan Scarlett 36 0 0 22 Oct 2024
Batched Stochastic Bandit for Nondegenerate Functions Yu Liu Yunlu Shu Tianyu Wang 44 0 0 09 May 2024
Sample Complexity of Kernel-Based Q-Learning Sing-Yuan Yeh Fu-Chieh Chang Chang-Wei Yueh Pei-Yuan Wu A. Bernacchia Sattar Vakili OffRL 25 4 0 01 Feb 2023
(Private) Kernelized Bandits with Distributed Biased Feedback Fengjiao Li Xingyu Zhou Bo Ji 33 5 0 28 Jan 2023
Anonymous Bandits for Multi-User Systems Hossein Esfandiari Vahab Mirrokni Jon Schneider PICV 13 0 0 21 Oct 2022
Collaborative Learning in Kernel-based Bandits for Distributed Users Sudeep Salgia Sattar Vakili Qing Zhao FedML 37 6 0 16 Jul 2022
Graph Neural Network Bandits Parnian Kassraie Andreas Krause Ilija Bogunovic 26 11 0 13 Jul 2022
Instance-Dependent Regret Analysis of Kernelized Bandits S. Shekhar T. Javidi 11 3 0 12 Mar 2022
Improved Convergence Rates for Sparse Approximation Methods in Kernel-Based Learning Sattar Vakili Jonathan Scarlett Da-shan Shiu A. Bernacchia 25 18 0 08 Feb 2022
Collaborative Pure Exploration in Kernel Bandit Yihan Du Wei Chen Yuko Kuroki Longbo Huang 38 10 0 29 Oct 2021