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2108.09262
Cited By
Optimal Order Simple Regret for Gaussian Process Bandits
20 August 2021
Sattar Vakili
N. Bouziani
Sepehr Jalali
A. Bernacchia
Da-shan Shiu
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Papers citing
"Optimal Order Simple Regret for Gaussian Process Bandits"
48 / 48 papers shown
Title
Improved Regret Analysis in Gaussian Process Bandits: Optimality for Noiseless Reward, RKHS norm, and Non-Stationary Variance
S. Iwazaki
Shion Takeno
111
2
0
10 Feb 2025
Distributed Thompson sampling under constrained communication
Saba Zerefa
Zhaolin Ren
Haitong Ma
Na Li
71
1
0
03 Jan 2025
Open Problem: Tight Online Confidence Intervals for RKHS Elements
Sattar Vakili
John Scarlett
T. Javidi
47
21
0
28 Oct 2021
Neural Thompson Sampling
Weitong Zhang
Dongruo Zhou
Lihong Li
Quanquan Gu
48
118
0
02 Oct 2020
On Information Gain and Regret Bounds in Gaussian Process Bandits
Sattar Vakili
Kia Khezeli
Victor Picheny
GP
46
130
0
15 Sep 2020
On Lower Bounds for Standard and Robust Gaussian Process Bandit Optimization
Xu Cai
Jonathan Scarlett
70
30
0
20 Aug 2020
Multi-Armed Bandits with Local Differential Privacy
Wenbo Ren
Xingyu Zhou
Jia Liu
Ness B. Shroff
10
47
0
06 Jul 2020
Scalable Thompson Sampling using Sparse Gaussian Process Models
Sattar Vakili
Henry B. Moss
A. Artemev
Vincent Dutordoir
Victor Picheny
22
35
0
09 Jun 2020
Locally Differentially Private (Contextual) Bandits Learning
Kai Zheng
Tianle Cai
Weiran Huang
Zhenguo Li
Liwei Wang
34
65
0
01 Jun 2020
Multi-Scale Zero-Order Optimization of Smooth Functions in an RKHS
S. Shekhar
T. Javidi
24
20
0
11 May 2020
Corruption-Tolerant Gaussian Process Bandit Optimization
Ilija Bogunovic
Andreas Krause
Jonathan Scarlett
58
52
0
04 Mar 2020
On Thompson Sampling with Langevin Algorithms
Eric Mazumdar
Aldo Pacchiano
Yi-An Ma
Peter L. Bartlett
Michael I. Jordan
29
11
0
23 Feb 2020
Bandit optimisation of functions in the Matérn kernel RKHS
David Janz
David R. Burt
Javier I. González
29
43
0
28 Jan 2020
Ordinal Bayesian Optimisation
Victor Picheny
Sattar Vakili
A. Artemev
33
8
0
05 Dec 2019
Convergence of Gaussian Process Regression with Estimated Hyper-parameters and Applications in Bayesian Inverse Problems
A. Teckentrup
17
64
0
31 Aug 2019
Differential Privacy for Multi-armed Bandits: What Is It and What Is Its Cost?
D. Basu
Christos Dimitrakakis
Aristide C. Y. Tossou
38
44
0
29 May 2019
Introduction to Multi-Armed Bandits
Aleksandrs Slivkins
258
999
0
15 Apr 2019
Gaussian Process Optimization with Adaptive Sketching: Scalable and No Regret
Daniele Calandriello
Luigi Carratino
A. Lazaric
Michal Valko
Lorenzo Rosasco
GP
34
68
0
13 Mar 2019
Regret bounds for meta Bayesian optimization with an unknown Gaussian process prior
Zi Wang
Beomjoon Kim
L. Kaelbling
51
54
0
23 Nov 2018
Simple Regret Minimization for Contextual Bandits
A. Deshmukh
Srinagesh Sharma
J. Cutler
M. Moldwin
Clayton Scott
34
24
0
17 Oct 2018
Gaussian Processes and Kernel Methods: A Review on Connections and Equivalences
Motonobu Kanagawa
Philipp Hennig
Dino Sejdinovic
Bharath K. Sriperumbudur
GP
BDL
113
341
0
06 Jul 2018
BOHB: Robust and Efficient Hyperparameter Optimization at Scale
Stefan Falkner
Aaron Klein
Frank Hutter
BDL
160
1,077
0
04 Jul 2018
Stagewise Safe Bayesian Optimization with Gaussian Processes
Yanan Sui
Vincent Zhuang
J. W. Burdick
Yisong Yue
58
141
0
20 Jun 2018
Tight Regret Bounds for Bayesian Optimization in One Dimension
Jonathan Scarlett
94
27
0
30 May 2018
Best arm identification in multi-armed bandits with delayed feedback
Aditya Grover
Todor Markov
Patrick Attia
Norman Jin
Nicholas Perkins
...
M. Chen
Zi Yang
Stephen J. Harris
W. Chueh
Stefano Ermon
43
74
0
29 Mar 2018
Gaussian Process bandits with adaptive discretization
S. Shekhar
T. Javidi
45
52
0
05 Dec 2017
Lower Bounds on Regret for Noisy Gaussian Process Bandit Optimization
Jonathan Scarlett
Ilija Bogunovic
Volkan Cevher
52
100
0
31 May 2017
On Kernelized Multi-armed Bandits
Sayak Ray Chowdhury
Aditya Gopalan
107
458
0
03 Apr 2017
Max-value Entropy Search for Efficient Bayesian Optimization
Zi Wang
Stefanie Jegelka
136
406
0
06 Mar 2017
Truncated Variance Reduction: A Unified Approach to Bayesian Optimization and Level-Set Estimation
Ilija Bogunovic
Jonathan Scarlett
Andreas Krause
Volkan Cevher
76
89
0
24 Oct 2016
Bayesian Optimization with Exponential Convergence
Kenji Kawaguchi
L. Kaelbling
Tomás Lozano-Pérez
52
106
0
05 Apr 2016
Multi-fidelity Gaussian Process Bandit Optimisation
Kirthevasan Kandasamy
Gautam Dasarathy
Junier B. Oliva
J. Schneider
Barnabás Póczós
36
76
0
20 Mar 2016
Bayesian Optimization with Safety Constraints: Safe and Automatic Parameter Tuning in Robotics
Felix Berkenkamp
Andreas Krause
Angela P. Schoellig
126
281
0
14 Feb 2016
Simple regret for infinitely many armed bandits
Alexandra Carpentier
Michal Valko
156
87
0
18 May 2015
Theoretical Analysis of Bayesian Optimisation with Unknown Gaussian Process Hyper-Parameters
Ziyun Wang
Nando de Freitas
55
89
0
30 Jun 2014
Finite-Time Analysis of Kernelised Contextual Bandits
Michal Valko
N. Korda
Rémi Munos
I. Flaounas
N. Cristianini
113
271
0
26 Sep 2013
Gaussian Processes for Big Data
J. Hensman
Nicolò Fusi
Neil D. Lawrence
GP
83
1,226
0
26 Sep 2013
Parallel Gaussian Process Optimization with Upper Confidence Bound and Pure Exploration
E. Contal
David Buffoni
Alexandre Robicquet
Nicolas Vayatis
49
213
0
19 Apr 2013
Bandits with heavy tail
Sébastien Bubeck
Nicolò Cesa-Bianchi
Gábor Lugosi
126
287
0
08 Sep 2012
Exponential Regret Bounds for Gaussian Process Bandits with Deterministic Observations
Nando de Freitas
Alex Smola
M. Zoghi
68
111
0
27 Jun 2012
Practical Bayesian Optimization of Machine Learning Algorithms
Jasper Snoek
Hugo Larochelle
Ryan P. Adams
292
7,883
0
13 Jun 2012
Hybrid Batch Bayesian Optimization
J. Azimi
A. Jalali
Xiaoli Z. Fern
69
70
0
25 Feb 2012
Stochastic convex optimization with bandit feedback
Alekh Agarwal
Dean Phillips Foster
Daniel J. Hsu
Sham Kakade
Alexander Rakhlin
109
239
0
08 Jul 2011
Deterministic Sequencing of Exploration and Exploitation for Multi-Armed Bandit Problems
Sattar Vakili
Keqin Liu
Qing Zhao
88
106
0
30 Jun 2011
Convergence rates of efficient global optimization algorithms
Adam D. Bull
104
641
0
18 Jan 2011
Portfolio Allocation for Bayesian Optimization
E. Brochu
Matthew W. Hoffman
Nando de Freitas
381
279
0
28 Sep 2010
X-Armed Bandits
Sébastien Bubeck
Rémi Munos
Gilles Stoltz
Csaba Szepesvari
123
383
0
25 Jan 2010
Multi-Armed Bandits in Metric Spaces
Robert D. Kleinberg
Aleksandrs Slivkins
E. Upfal
212
468
0
29 Sep 2008
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