High-Dimensional Experimental Design and Kernel Bandits

12 May 2021

Papers citing "High-Dimensional Experimental Design and Kernel Bandits"

25 / 25 papers shown

Title
Improved Regret Bounds for Gaussian Process Upper Confidence Bound in Bayesian Optimization Shogo Iwazaki GP 47 0 0 02 Jun 2025
Improved Regret Analysis in Gaussian Process Bandits: Optimality for Noiseless Reward, RKHS norm, and Non-Stationary Variance S. Iwazaki Shion Takeno 127 3 0 10 Feb 2025
Enhancing Preference-based Linear Bandits via Human Response Time Shen Li Yuyang Zhang Tongzheng Ren Claire Liang Na Li J. Shah 172 1 0 03 Jan 2025
Lower Bounds for Time-Varying Kernelized Bandits Xu Cai Jonathan Scarlett 83 1 0 22 Oct 2024
Random Exploration in Bayesian Optimization: Order-Optimal Regret and Computational Efficiency Sudeep Salgia Sattar Vakili Qing Zhao 53 10 0 23 Oct 2023
Online Network Source Optimization with Graph-Kernel MAB Laura Toni P. Frossard 97 1 0 07 Jul 2023
Kernel $ε$ -Greedy for Multi-Armed Bandits with Covariates Sakshi Arya Bharath K. Sriperumbudur 123 0 0 29 Jun 2023
On the Interplay Between Misspecification and Sub-optimality Gap in Linear Contextual Bandits Weitong Zhang Jiafan He Zhiyuan Fan Q. Gu 134 5 0 16 Mar 2023
PopArt: Efficient Sparse Regression and Experimental Design for Optimal Sparse Linear Bandits Kyoungseok Jang Chicheng Zhang Kwang-Sung Jun 170 14 0 25 Oct 2022
Active Learning with Safety Constraints Romain Camilleri Andrew Wagenmaker Jamie Morgenstern Lalit P. Jain Kevin Jamieson 66 14 0 22 Jun 2022
Experimental Design for Linear Functionals in Reproducing Kernel Hilbert Spaces Mojmír Mutný Andreas Krause 101 11 0 26 May 2022
On Kernelized Multi-Armed Bandits with Constraints Xingyu Zhou Bo Ji 69 30 0 29 Mar 2022
Instance-Dependent Regret Analysis of Kernelized Bandits S. Shekhar T. Javidi 57 4 0 12 Mar 2022
Efficient Kernel UCB for Contextual Bandits Houssam Zenati A. Bietti Eustache Diemert Julien Mairal Matthieu Martin Pierre Gaillard 117 4 0 11 Feb 2022
Fast Rates in Pool-Based Batch Active Learning Claudio Gentile Zhilei Wang Tong Zhang 80 16 0 11 Feb 2022
Improved Convergence Rates for Sparse Approximation Methods in Kernel-Based Learning Sattar Vakili Jonathan Scarlett Da-shan Shiu A. Bernacchia 81 19 0 08 Feb 2022
An Experimental Design Approach for Regret Minimization in Logistic Bandits Blake Mason Kwang-Sung Jun Lalit P. Jain 61 10 0 04 Feb 2022
A Robust Phased Elimination Algorithm for Corruption-Tolerant Gaussian Process Bandits Ilija Bogunovic Zihan Li Andreas Krause Jonathan Scarlett 79 9 0 03 Feb 2022
Misspecified Gaussian Process Bandit Optimization Ilija Bogunovic Andreas Krause 86 45 0 09 Nov 2021
Nearly Optimal Algorithms for Level Set Estimation Blake Mason Romain Camilleri Subhojyoti Mukherjee Kevin Jamieson Robert D. Nowak Lalit P. Jain 77 23 0 02 Nov 2021
Collaborative Pure Exploration in Kernel Bandit Yihan Du Wei Chen Yuko Kuroki Longbo Huang 104 12 0 29 Oct 2021
Open Problem: Tight Online Confidence Intervals for RKHS Elements Sattar Vakili John Scarlett T. Javidi 81 21 0 28 Oct 2021
Pure Exploration in Kernel and Neural Bandits Yinglun Zhu Dongruo Zhou Ruoxi Jiang Quanquan Gu Rebecca Willett Robert D. Nowak 67 16 0 22 Jun 2021
A Domain-Shrinking based Bayesian Optimization Algorithm with Order-Optimal Regret Performance Sudeep Salgia Sattar Vakili Qing Zhao 108 34 0 27 Oct 2020
Multi-Scale Zero-Order Optimization of Smooth Functions in an RKHS S. Shekhar T. Javidi 31 20 0 11 May 2020