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Gaussian Process bandits with adaptive discretization

Gaussian Process bandits with adaptive discretization

5 December 2017
S. Shekhar
T. Javidi
ArXivPDFHTML

Papers citing "Gaussian Process bandits with adaptive discretization"

15 / 15 papers shown
Title
Global Optimization with Parametric Function Approximation
Global Optimization with Parametric Function Approximation
Chong Liu
Yu-Xiang Wang
36
7
0
16 Nov 2022
Optimistic Optimization of Gaussian Process Samples
Optimistic Optimization of Gaussian Process Samples
Julia Grosse
Cheng Zhang
Philipp Hennig
GP
16
0
0
02 Sep 2022
Collaborative Learning in Kernel-based Bandits for Distributed Users
Collaborative Learning in Kernel-based Bandits for Distributed Users
Sudeep Salgia
Sattar Vakili
Qing Zhao
FedML
37
6
0
16 Jul 2022
Instance-Dependent Regret Analysis of Kernelized Bandits
Instance-Dependent Regret Analysis of Kernelized Bandits
S. Shekhar
T. Javidi
27
3
0
12 Mar 2022
Gaussian Process Bandits with Aggregated Feedback
Gaussian Process Bandits with Aggregated Feedback
Mengyan Zhang
Russell Tsuchida
Cheng Soon Ong
20
6
0
24 Dec 2021
Misspecified Gaussian Process Bandit Optimization
Misspecified Gaussian Process Bandit Optimization
Ilija Bogunovic
Andreas Krause
55
42
0
09 Nov 2021
Optimal Order Simple Regret for Gaussian Process Bandits
Optimal Order Simple Regret for Gaussian Process Bandits
Sattar Vakili
N. Bouziani
Sepehr Jalali
A. Bernacchia
Da-shan Shiu
31
51
0
20 Aug 2021
Ada-BKB: Scalable Gaussian Process Optimization on Continuous Domains by
  Adaptive Discretization
Ada-BKB: Scalable Gaussian Process Optimization on Continuous Domains by Adaptive Discretization
Marco Rando
Luigi Carratino
S. Villa
Lorenzo Rosasco
44
5
0
16 Jun 2021
On Information Gain and Regret Bounds in Gaussian Process Bandits
On Information Gain and Regret Bounds in Gaussian Process Bandits
Sattar Vakili
Kia Khezeli
Victor Picheny
GP
25
126
0
15 Sep 2020
Corruption-Tolerant Gaussian Process Bandit Optimization
Corruption-Tolerant Gaussian Process Bandit Optimization
Ilija Bogunovic
Andreas Krause
Jonathan Scarlett
30
51
0
04 Mar 2020
Probabilistic Safety Constraints for Learned High Relative Degree System
  Dynamics
Probabilistic Safety Constraints for Learned High Relative Degree System Dynamics
M. J. Khojasteh
Vikas Dhiman
M. Franceschetti
Nikolay Atanasov
34
73
0
20 Dec 2019
Tight Regret Bounds for Bayesian Optimization in One Dimension
Tight Regret Bounds for Bayesian Optimization in One Dimension
Jonathan Scarlett
38
27
0
30 May 2018
Truncated Variance Reduction: A Unified Approach to Bayesian
  Optimization and Level-Set Estimation
Truncated Variance Reduction: A Unified Approach to Bayesian Optimization and Level-Set Estimation
Ilija Bogunovic
Jonathan Scarlett
Andreas Krause
V. Cevher
72
89
0
24 Oct 2016
Time-Varying Gaussian Process Bandit Optimization
Time-Varying Gaussian Process Bandit Optimization
Ilija Bogunovic
Jonathan Scarlett
V. Cevher
66
95
0
25 Jan 2016
Bayesian Multi-Scale Optimistic Optimization
Bayesian Multi-Scale Optimistic Optimization
Ziyun Wang
B. Shakibi
L. Jin
Nando de Freitas
80
95
0
27 Feb 2014
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