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Gaussian Process Bandit Optimization with Few Batches
v1v2v3v4 (latest)

Gaussian Process Bandit Optimization with Few Batches

15 October 2021
Zihan Li
Jonathan Scarlett
    GP
ArXiv (abs)PDFHTML

Papers citing "Gaussian Process Bandit Optimization with Few Batches"

30 / 30 papers shown
Title
Robust Batched Bandits
Robust Batched Bandits
Yunwen Guo
Yunlun Shu
Gongyi Zhuo
Tianyu Wang
8
0
0
04 Oct 2025
Improved Regret Bounds for Gaussian Process Upper Confidence Bound in Bayesian Optimization
Improved Regret Bounds for Gaussian Process Upper Confidence Bound in Bayesian Optimization
Shogo Iwazaki
GP
143
1
0
02 Jun 2025
Bayesian Optimization from Human Feedback: Near-Optimal Regret Bounds
Bayesian Optimization from Human Feedback: Near-Optimal Regret Bounds
Aya Kayal
Sattar Vakili
Laura Toni
Da-shan Shiu
A. Bernacchia
116
0
0
29 May 2025
Distributionally Robust Active Learning for Gaussian Process Regression
Distributionally Robust Active Learning for Gaussian Process Regression
Shion Takeno
Yoshito Okura
Yu Inatsu
Aoyama Tatsuya
Tomonari Tanaka
...
Noriaki Hashimoto
Taro Murayama
Hanju Lee
Shinya Kojima
Ichiro Takeuchi
OODGP
185
0
0
24 Feb 2025
Improved Regret Analysis in Gaussian Process Bandits: Optimality for Noiseless Reward, RKHS norm, and Non-Stationary Variance
S. Iwazaki
Shion Takeno
179
4
0
10 Feb 2025
Differentially Private Kernelized Contextual Bandits
Differentially Private Kernelized Contextual Bandits
Nikola Pavlovic
Sudeep Salgia
Qing Zhao
139
3
0
13 Jan 2025
Constrained Multi-objective Bayesian Optimization through Optimistic Constraints Estimation
Constrained Multi-objective Bayesian Optimization through Optimistic Constraints Estimation
Diantong Li
Fengxue Zhang
Chong Liu
Yuxin Chen
644
1
0
06 Nov 2024
Lower Bounds for Time-Varying Kernelized Bandits
Lower Bounds for Time-Varying Kernelized Bandits
Xu Cai
Jonathan Scarlett
143
1
0
22 Oct 2024
The Traveling Bandit: A Framework for Bayesian Optimization with
  Movement Costs
The Traveling Bandit: A Framework for Bayesian Optimization with Movement Costs
Qiyuan Chen
Raed Al Kontar
151
1
0
18 Oct 2024
Open Problem: Order Optimal Regret Bounds for Kernel-Based Reinforcement
  Learning
Open Problem: Order Optimal Regret Bounds for Kernel-Based Reinforcement Learning
Sattar Vakili
OffRL
106
2
0
21 Jun 2024
Batched Stochastic Bandit for Nondegenerate Functions
Batched Stochastic Bandit for Nondegenerate Functions
Yu Liu
Yunlu Shu
Tianyu Wang
318
1
0
09 May 2024
Random Exploration in Bayesian Optimization: Order-Optimal Regret and
  Computational Efficiency
Random Exploration in Bayesian Optimization: Order-Optimal Regret and Computational Efficiency
Sudeep Salgia
Sattar Vakili
Qing Zhao
123
12
0
23 Oct 2023
Kernelized Reinforcement Learning with Order Optimal Regret Bounds
Kernelized Reinforcement Learning with Order Optimal Regret Bounds
Sattar Vakili
Julia Olkhovskaya
154
10
0
13 Jun 2023
From Random Search to Bandit Learning in Metric Measure Spaces
From Random Search to Bandit Learning in Metric Measure Spaces
Chuying Han
Yasong Feng
Tianyu Wang
166
3
0
19 May 2023
Sample Complexity of Kernel-Based Q-Learning
Sample Complexity of Kernel-Based Q-Learning
Sing-Yuan Yeh
Fu-Chieh Chang
Chang-Wei Yueh
Pei-Yuan Wu
A. Bernacchia
Sattar Vakili
OffRL
127
5
0
01 Feb 2023
Regret Bounds for Noise-Free Cascaded Kernelized Bandits
Regret Bounds for Noise-Free Cascaded Kernelized Bandits
Zihan Li
Jonathan Scarlett
114
2
0
10 Nov 2022
Benefits of Monotonicity in Safe Exploration with Gaussian Processes
Benefits of Monotonicity in Safe Exploration with Gaussian Processes
Arpan Losalka
Jonathan Scarlett
129
1
0
03 Nov 2022
Graph Neural Network Bandits
Graph Neural Network Bandits
Parnian Kassraie
Andreas Krause
Ilija Bogunovic
156
12
0
13 Jul 2022
Bayesian Optimization under Stochastic Delayed Feedback
Bayesian Optimization under Stochastic Delayed Feedback
Arun Verma
Zhongxiang Dai
Bryan Kian Hsiang Low
114
15
0
19 Jun 2022
Provably and Practically Efficient Neural Contextual Bandits
Provably and Practically Efficient Neural Contextual Bandits
Sudeep Salgia
Sattar Vakili
Qing Zhao
122
10
0
31 May 2022
On Kernelized Multi-Armed Bandits with Constraints
On Kernelized Multi-Armed Bandits with Constraints
Xingyu Zhou
Bo Ji
121
33
0
29 Mar 2022
Instance-Dependent Regret Analysis of Kernelized Bandits
Instance-Dependent Regret Analysis of Kernelized Bandits
S. Shekhar
T. Javidi
94
4
0
12 Mar 2022
Improved Convergence Rates for Sparse Approximation Methods in
  Kernel-Based Learning
Improved Convergence Rates for Sparse Approximation Methods in Kernel-Based Learning
Sattar Vakili
Jonathan Scarlett
Da-shan Shiu
A. Bernacchia
157
20
0
08 Feb 2022
A Robust Phased Elimination Algorithm for Corruption-Tolerant Gaussian
  Process Bandits
A Robust Phased Elimination Algorithm for Corruption-Tolerant Gaussian Process Bandits
Ilija Bogunovic
Zihan Li
Andreas Krause
Jonathan Scarlett
166
9
0
03 Feb 2022
Collaborative Pure Exploration in Kernel Bandit
Collaborative Pure Exploration in Kernel Bandit
Yihan Du
Wei Chen
Yuko Kuroki
Longbo Huang
218
12
0
29 Oct 2021
Open Problem: Tight Online Confidence Intervals for RKHS Elements
Open Problem: Tight Online Confidence Intervals for RKHS Elements
Sattar Vakili
John Scarlett
T. Javidi
124
22
0
28 Oct 2021
Lipschitz Bandits with Batched Feedback
Lipschitz Bandits with Batched Feedback
Yasong Feng
Zengfeng Huang
Tianyu Wang
231
16
0
19 Oct 2021
Adversarial Attacks on Gaussian Process Bandits
Adversarial Attacks on Gaussian Process Bandits
E. Han
Jonathan Scarlett
GPAAML
146
7
0
16 Oct 2021
Multi-Scale Zero-Order Optimization of Smooth Functions in an RKHS
Multi-Scale Zero-Order Optimization of Smooth Functions in an RKHS
S. Shekhar
T. Javidi
87
20
0
11 May 2020
Regret Bounds for Noise-Free Kernel-Based Bandits
Regret Bounds for Noise-Free Kernel-Based Bandits
Sattar Vakili
161
8
0
12 Feb 2020
1