Misspecified Gaussian Process Bandit Optimization

9 November 2021

Papers citing "Misspecified Gaussian Process Bandit Optimization"

13 / 13 papers shown

Title
Bayesian Optimization with Inexact Acquisition: Is Random Grid Search Sufficient? Hwanwoo Kim Chong Liu Yuxin Chen 30 0 0 13 Jun 2025
Bayesian Optimisation with Unknown Hyperparameters: Regret Bounds Logarithmically Closer to Optimal Juliusz Ziomek Masaki Adachi Michael A. Osborne 93 1 0 14 Oct 2024
Kernel $ε$ -Greedy for Multi-Armed Bandits with Covariates Sakshi Arya Bharath K. Sriperumbudur 141 0 0 29 Jun 2023
Self-Correcting Bayesian Optimization through Bayesian Active Learning Carl Hvarfner E. Hellsten Frank Hutter Luigi Nardi GP 90 16 0 21 Apr 2023
Does Sparsity Help in Learning Misspecified Linear Bandits? Jialin Dong Lin F. Yang 70 1 0 29 Mar 2023
HyperBO+: Pre-training a universal prior for Bayesian optimization with hierarchical Gaussian processes Z. Fan Xinran Han Zehao Wang 91 4 0 20 Dec 2022
Near-optimal Policy Identification in Active Reinforcement Learning Xiang Li Viraj Mehta Johannes Kirschner I. Char Willie Neiswanger J. Schneider Andreas Krause Ilija Bogunovic OffRL 85 6 0 19 Dec 2022
Optimization on Manifolds via Graph Gaussian Processes Hwanwoo Kim D. Sanz-Alonso Ruiyi Yang 96 2 0 20 Oct 2022
Graph Neural Network Bandits Parnian Kassraie Andreas Krause Ilija Bogunovic 100 12 0 13 Jul 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
Meta-Learning Hypothesis Spaces for Sequential Decision-making Parnian Kassraie Jonas Rothfuss Andreas Krause OffRL 117 6 0 01 Feb 2022
Pre-trained Gaussian processes for Bayesian optimization Zehao Wang George E. Dahl Kevin Swersky Chansoo Lee Zachary Nado Justin Gilmer Jasper Snoek Zoubin Ghahramani 151 46 0 16 Sep 2021
Tight Regret Bounds for Bayesian Optimization in One Dimension Jonathan Scarlett 189 29 0 30 May 2018