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1311.4825
Cited By
Gaussian Process Optimization with Mutual Information
19 November 2013
E. Contal
Vianney Perchet
Nicolas Vayatis
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Papers citing
"Gaussian Process Optimization with Mutual Information"
27 / 27 papers shown
Title
Distributed Multi-robot Source Seeking in Unknown Environments with Unknown Number of Sources
Lingpeng Chen
Siva Kailas
Srujan Deolasee
Wenhao Luo
Katia P. Sycara
Woojun Kim
51
0
0
14 Mar 2025
Efficient Parameter Tuning for a Structure-Based Virtual Screening HPC Application
Bruno Guindani
Davide Gadioli
Roberto Rocco
Danilo Ardagna
G. Palermo
28
0
0
18 Oct 2024
Batched Stochastic Bandit for Nondegenerate Functions
Yu Liu
Yunlu Shu
Tianyu Wang
52
0
0
09 May 2024
Information-Theoretic Safe Bayesian Optimization
A. Bottero
Carlos E. Luis
Julia Vinogradska
Felix Berkenkamp
Jan Peters
37
1
0
23 Feb 2024
Constraint-Guided Online Data Selection for Scalable Data-Driven Safety Filters in Uncertain Robotic Systems
Jason J. Choi
F. Castañeda
Wonsuhk Jung
Bike Zhang
Claire J. Tomlin
Koushil Sreenath
35
3
0
23 Nov 2023
Collaborative and Distributed Bayesian Optimization via Consensus: Showcasing the Power of Collaboration for Optimal Design
Xubo Yue
Raed Al Kontar
A. Berahas
Yang Liu
Blake N. Johnson
25
3
0
25 Jun 2023
Information-Theoretic Safe Exploration with Gaussian Processes
A. Bottero
Carlos E. Luis
Julia Vinogradska
Felix Berkenkamp
Jan Peters
31
13
0
09 Dec 2022
End-to-End Learning of Deep Kernel Acquisition Functions for Bayesian Optimization
Tomoharu Iwata
BDL
9
4
0
01 Nov 2021
Pre-trained Gaussian processes for Bayesian optimization
Zehao Wang
George E. Dahl
Kevin Swersky
Chansoo Lee
Zachary Nado
Justin Gilmer
Jasper Snoek
Zoubin Ghahramani
65
40
0
16 Sep 2021
Harnessing Heterogeneity: Learning from Decomposed Feedback in Bayesian Modeling
Kai Wang
Bryan Wilder
S. Suen
B. Dilkina
Milind Tambe
121
0
0
07 Jul 2021
Using Distance Correlation for Efficient Bayesian Optimization
T. Kanazawa
44
3
0
17 Feb 2021
Simple and Scalable Parallelized Bayesian Optimization
Masahiro Nomura
19
1
0
24 Jun 2020
Bayesian Quadrature Optimization for Probability Threshold Robustness Measure
S. Iwazaki
Yu Inatsu
Ichiro Takeuchi
TPM
24
11
0
22 Jun 2020
Time-varying Gaussian Process Bandit Optimization with Non-constant Evaluation Time
Hideaki Imamura
Nontawat Charoenphakdee
Futoshi Futami
Issei Sato
Junya Honda
Masashi Sugiyama
25
3
0
10 Mar 2020
Learning Arbitrary Quantities of Interest from Expensive Black-Box Functions through Bayesian Sequential Optimal Design
Piyush Pandita
Nimish Awalgaonkar
Ilias Bilionis
Jitesh H. Panchal
23
1
0
16 Dec 2019
A Simple Heuristic for Bayesian Optimization with A Low Budget
Masahiro Nomura
Kenshi Abe
24
1
0
18 Nov 2019
Statistical Learning and Estimation of Piano Fingering
Eita Nakamura
Yasuyuki Saito
Kazuyoshi Yoshii
9
38
0
23 Apr 2019
Towards Practical Lipschitz Bandits
Tianyu Wang
Weicheng Ye
Dawei Geng
Cynthia Rudin
14
1
0
26 Jan 2019
Optimizing Photonic Nanostructures via Multi-fidelity Gaussian Processes
Jialin Song
Y. Tokpanov
Yuxin Chen
Dagny Fleischman
Katherine T Fountaine
H. Atwater
Yisong Yue
14
8
0
15 Nov 2018
A General Framework for Multi-fidelity Bayesian Optimization with Gaussian Processes
Jialin Song
Yuxin Chen
Yisong Yue
6
101
0
02 Nov 2018
Towards Bursting Filter Bubble via Contextual Risks and Uncertainties
Rikiya Takahashi
Shunan Zhang
11
1
0
30 Jun 2017
Efficient batch-sequential Bayesian optimization with moments of truncated Gaussian vectors
Sébastien Marmin
C. Chevalier
D. Ginsbourger
21
13
0
09 Sep 2016
Hyperband: A Novel Bandit-Based Approach to Hyperparameter Optimization
Lisha Li
Kevin G. Jamieson
Giulia DeSalvo
Afshin Rostamizadeh
Ameet Talwalkar
23
2,292
0
21 Mar 2016
Optimization for Gaussian Processes via Chaining
E. Contal
C. Malherbe
Nicolas Vayatis
50
7
0
19 Oct 2015
Emulation of Higher-Order Tensors in Manifold Monte Carlo Methods for Bayesian Inverse Problems
Shiwei Lan
T. Bui-Thanh
M. Christie
Mark Girolami
39
56
0
22 Jul 2015
Sequential Design with Mutual Information for Computer Experiments (MICE): Emulation of a Tsunami Model
Joakim Beck
S. Guillas
25
95
0
01 Oct 2014
Learning to Optimize via Information-Directed Sampling
Daniel Russo
Benjamin Van Roy
29
276
0
21 Mar 2014
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