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Constrained Bayesian Optimization with Max-Value Entropy Search

Constrained Bayesian Optimization with Max-Value Entropy Search

15 October 2019
Valerio Perrone
I. Shcherbatyi
Rodolphe Jenatton
Cédric Archambeau
Matthias Seeger
ArXiv (abs)PDFHTML

Papers citing "Constrained Bayesian Optimization with Max-Value Entropy Search"

13 / 13 papers shown
Title
You Only Train Once
Christos Sakaridis
34
0
0
04 Jun 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
451
0
0
06 Nov 2024
Joint Entropy Search for Multi-objective Bayesian Optimization
Joint Entropy Search for Multi-objective Bayesian Optimization
Ben Tu
Axel Gandy
N. Kantas
B. Shafei
93
39
0
06 Oct 2022
Recent Advances in Bayesian Optimization
Recent Advances in Bayesian Optimization
Xilu Wang
Yaochu Jin
Sebastian Schmitt
Markus Olhofer
86
233
0
07 Jun 2022
Two-step Lookahead Bayesian Optimization with Inequality Constraints
Two-step Lookahead Bayesian Optimization with Inequality Constraints
Yunxiang Zhang
Xinming Zhang
P. Frazier
58
7
0
06 Dec 2021
A sampling criterion for constrained Bayesian optimization with
  uncertainties
A sampling criterion for constrained Bayesian optimization with uncertainties
M. R. E. Amri
Rodolphe Le Riche
C. Helbert
Christophette Blanchet-Scalliet
Sébastien Da Veiga
59
14
0
09 Mar 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
110
20
0
19 Feb 2021
A New Knowledge Gradient-based Method for Constrained Bayesian
  Optimization
A New Knowledge Gradient-based Method for Constrained Bayesian Optimization
Wenjie Chen
Shengcai Liu
Ke Tang
52
7
0
20 Jan 2021
Amazon SageMaker Automatic Model Tuning: Scalable Gradient-Free
  Optimization
Amazon SageMaker Automatic Model Tuning: Scalable Gradient-Free Optimization
Valerio Perrone
Huibin Shen
Aida Zolic
I. Shcherbatyi
Amr Ahmed
...
Barbara Pogorzelska
Miroslav Miladinovic
K. Kenthapadi
Matthias Seeger
Cédric Archambeau
99
16
0
15 Dec 2020
Amazon SageMaker Autopilot: a white box AutoML solution at scale
Amazon SageMaker Autopilot: a white box AutoML solution at scale
Piali Das
Laurence Rouesnel
Nikita Ivkin
Tanya Bansal
Zohar Karnin
...
Giovanni Zappella
Cedric Archembeau
Matthias Seeger
Bhaskar Dutt
K. Venkateswar
91
69
0
15 Dec 2020
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
69
18
0
09 Nov 2020
Improved Max-value Entropy Search for Multi-objective Bayesian
  Optimization with Constraints
Improved Max-value Entropy Search for Multi-objective Bayesian Optimization with Constraints
Daniel Fernández-Sánchez
Eduardo C. Garrido-Merchán
Daniel Hernández-Lobato
57
31
0
02 Nov 2020
Resource Aware Multifidelity Active Learning for Efficient Optimization
Resource Aware Multifidelity Active Learning for Efficient Optimization
Francesco Grassi
Giorgio Manganini
Michele Garraffa
L. Mainini
68
6
0
09 Jul 2020
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