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Predictive Entropy Search for Bayesian Optimization with Unknown
  Constraints

Predictive Entropy Search for Bayesian Optimization with Unknown Constraints

18 February 2015
José Miguel Hernández-Lobato
M. Gelbart
Matthew W. Hoffman
Ryan P. Adams
Zoubin Ghahramani
ArXivPDFHTML

Papers citing "Predictive Entropy Search for Bayesian Optimization with Unknown Constraints"

27 / 27 papers shown
Title
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
197
0
0
06 Nov 2024
TS-RSR: A provably efficient approach for batch bayesian optimization
TS-RSR: A provably efficient approach for batch bayesian optimization
Zhaolin Ren
Na Li
31
2
0
07 Mar 2024
Global Safe Sequential Learning via Efficient Knowledge Transfer
Global Safe Sequential Learning via Efficient Knowledge Transfer
Cen-You Li
Olaf Duennbier
Marc Toussaint
Barbara Rakitsch
Christoph Zimmer
52
2
0
22 Feb 2024
On the development of a practical Bayesian optimisation algorithm for
  expensive experiments and simulations with changing environmental conditions
On the development of a practical Bayesian optimisation algorithm for expensive experiments and simulations with changing environmental conditions
Mike Diessner
Kevin J. Wilson
Richard D. Whalley
24
0
0
05 Feb 2024
OpenBox: A Python Toolkit for Generalized Black-box Optimization
OpenBox: A Python Toolkit for Generalized Black-box Optimization
Huaijun Jiang
Yu Shen
Yang Li
Beicheng Xu
Sixian Du
Wentao Zhang
Ce Zhang
Bin Cui
38
5
0
26 Apr 2023
Targeted active learning for probabilistic models
Targeted active learning for probabilistic models
Christopher Tosh
Mauricio Tec
Wesley Tansey
29
2
0
21 Oct 2022
Joint Entropy Search for Multi-objective Bayesian Optimization
Joint Entropy Search for Multi-objective Bayesian Optimization
Ben Tu
Axel Gandy
N. Kantas
B. Shafei
27
38
0
06 Oct 2022
Joint Entropy Search for Maximally-Informed Bayesian Optimization
Joint Entropy Search for Maximally-Informed Bayesian Optimization
Carl Hvarfner
Frank Hutter
Luigi Nardi
44
36
0
09 Jun 2022
Recent Advances in Bayesian Optimization
Recent Advances in Bayesian Optimization
Xilu Wang
Yaochu Jin
Sebastian Schmitt
Markus Olhofer
40
200
0
07 Jun 2022
Cooperative Multi-Agent Trajectory Generation with Modular Bayesian
  Optimization
Cooperative Multi-Agent Trajectory Generation with Modular Bayesian Optimization
Gilhyun Ryou
E. Tal
S. Karaman
26
4
0
01 Jun 2022
Two-step Lookahead Bayesian Optimization with Inequality Constraints
Two-step Lookahead Bayesian Optimization with Inequality Constraints
Yunxiang Zhang
Xinming Zhang
P. Frazier
27
7
0
06 Dec 2021
Failure-averse Active Learning for Physics-constrained Systems
Failure-averse Active Learning for Physics-constrained Systems
Cheolhei Lee
Xing Wang
Jianguo Wu
Xiaowei Yue
AI4CE
19
7
0
27 Oct 2021
Exploring Bayesian Deep Learning for Urgent Instructor Intervention Need
  in MOOC Forums
Exploring Bayesian Deep Learning for Urgent Instructor Intervention Need in MOOC Forums
Jialin Yu
Laila Alrajhi
Anoushka Harit
Zhongtian Sun
Alexandra I. Cristea
Lei Shi
BDL
UQCV
24
8
0
26 Apr 2021
Bayesian Optimization is Superior to Random Search for Machine Learning
  Hyperparameter Tuning: Analysis of the Black-Box Optimization Challenge 2020
Bayesian Optimization is Superior to Random Search for Machine Learning Hyperparameter Tuning: Analysis of the Black-Box Optimization Challenge 2020
Ryan Turner
David Eriksson
M. McCourt
J. Kiili
Eero Laaksonen
Zhen Xu
Isabelle M Guyon
BDL
30
289
0
20 Apr 2021
Sequential- and Parallel- Constrained Max-value Entropy Search via
  Information Lower Bound
Sequential- and Parallel- Constrained Max-value Entropy Search via Information Lower Bound
Shion Takeno
T. Tamura
Kazuki Shitara
Masayuki Karasuyama
37
17
0
19 Feb 2021
TrimTuner: Efficient Optimization of Machine Learning Jobs in the Cloud
  via Sub-Sampling
TrimTuner: Efficient Optimization of Machine Learning Jobs in the Cloud via Sub-Sampling
Pedro Mendes
Maria Casimiro
Paolo Romano
David Garlan
22
18
0
09 Nov 2020
Fair Bayesian Optimization
Fair Bayesian Optimization
Valerio Perrone
Michele Donini
Muhammad Bilal Zafar
Robin Schmucker
K. Kenthapadi
Cédric Archambeau
FaML
27
84
0
09 Jun 2020
Parallel Predictive Entropy Search for Multi-objective Bayesian
  Optimization with Constraints
Parallel Predictive Entropy Search for Multi-objective Bayesian Optimization with Constraints
E.C. Garrido-Merchán
Daniel Hernández-Lobato
30
16
0
01 Apr 2020
BoTorch: A Framework for Efficient Monte-Carlo Bayesian Optimization
BoTorch: A Framework for Efficient Monte-Carlo Bayesian Optimization
Maximilian Balandat
Brian Karrer
Daniel R. Jiang
Sam Daulton
Benjamin Letham
A. Wilson
E. Bakshy
32
93
0
14 Oct 2019
Mixed-Variable Bayesian Optimization
Mixed-Variable Bayesian Optimization
Erik A. Daxberger
Anastasia Makarova
M. Turchetta
Andreas Krause
24
51
0
02 Jul 2019
Sampling Acquisition Functions for Batch Bayesian Optimization
Sampling Acquisition Functions for Batch Bayesian Optimization
Alessandro De Palma
Celestine Mendler-Dünner
Thomas Parnell
Andreea Anghel
H. Pozidis
39
13
0
22 Mar 2019
A Tutorial on Bayesian Optimization
A Tutorial on Bayesian Optimization
P. Frazier
GP
15
1,744
0
08 Jul 2018
A Framework for Robot Manipulation: Skill Formalism, Meta Learning and
  Adaptive Control
A Framework for Robot Manipulation: Skill Formalism, Meta Learning and Adaptive Control
Lars Johannsmeier
Malkin Gerchow
Sami Haddadin
21
109
0
22 May 2018
Query-limited Black-box Attacks to Classifiers
Query-limited Black-box Attacks to Classifiers
Fnu Suya
Yuan Tian
David Evans
Paolo Papotti
AAML
17
24
0
23 Dec 2017
Learning to Learn without Gradient Descent by Gradient Descent
Learning to Learn without Gradient Descent by Gradient Descent
Yutian Chen
Matthew W. Hoffman
Sergio Gomez Colmenarejo
Misha Denil
Timothy Lillicrap
Matt Botvinick
Nando de Freitas
21
42
0
11 Nov 2016
Bayesian optimization under mixed constraints with a slack-variable
  augmented Lagrangian
Bayesian optimization under mixed constraints with a slack-variable augmented Lagrangian
Victor Picheny
R. Gramacy
Stefan M. Wild
Sébastien Le Digabel
19
91
0
31 May 2016
A Bayesian approach to constrained single- and multi-objective
  optimization
A Bayesian approach to constrained single- and multi-objective optimization
Paul Feliot
Julien Bect
E. Vázquez
22
149
0
02 Oct 2015
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