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OpenBox: A Generalized Black-box Optimization Service

OpenBox: A Generalized Black-box Optimization Service

1 June 2021
Yang Li
Yu Shen
Wentao Zhang
Yuan-Wei Chen
Huaijun Jiang
Mingchao Liu
Jiawei Jiang
Jinyang Gao
Wentao Wu
Zhi-Xin Yang
Ce Zhang
Tengjiao Wang
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Papers citing "OpenBox: A Generalized Black-box Optimization Service"

21 / 21 papers shown
Title
Uncertainty-Aware Search Framework for Multi-Objective Bayesian
  Optimization
Uncertainty-Aware Search Framework for Multi-Objective Bayesian Optimization
Syrine Belakaria
Aryan Deshwal
Nitthilan Kanappan Jayakodi
J. Doppa
55
83
0
12 Apr 2022
VolcanoML: Speeding up End-to-End AutoML via Scalable Search Space
  Decomposition
VolcanoML: Speeding up End-to-End AutoML via Scalable Search Space Decomposition
Yang Li
Yu Shen
Wentao Zhang
Jiawei Jiang
Bolin Ding
...
Jingren Zhou
Zhi-Xin Yang
Wentao Wu
Ce Zhang
Tengjiao Wang
LRM
42
45
0
19 Jul 2021
Efficient Automatic CASH via Rising Bandits
Efficient Automatic CASH via Rising Bandits
Yang Li
Jiawei Jiang
Jinyang Gao
Yingxia Shao
Ce Zhang
Tengjiao Wang
40
34
0
08 Dec 2020
MFES-HB: Efficient Hyperband with Multi-Fidelity Quality Measurements
MFES-HB: Efficient Hyperband with Multi-Fidelity Quality Measurements
Yang Li
Yu Shen
Jiawei Jiang
Jinyang Gao
Ce Zhang
Tengjiao Wang
39
27
0
05 Dec 2020
Max-value Entropy Search for Multi-Objective Bayesian Optimization with
  Constraints
Max-value Entropy Search for Multi-Objective Bayesian Optimization with Constraints
Syrine Belakaria
Aryan Deshwal
J. Doppa
60
133
0
01 Sep 2020
Fair Bayesian Optimization
Fair Bayesian Optimization
Valerio Perrone
Michele Donini
Muhammad Bilal Zafar
Robin Schmucker
K. Kenthapadi
Cédric Archambeau
FaML
44
86
0
09 Jun 2020
Differentiable Expected Hypervolume Improvement for Parallel
  Multi-Objective Bayesian Optimization
Differentiable Expected Hypervolume Improvement for Parallel Multi-Objective Bayesian Optimization
Sam Daulton
Maximilian Balandat
E. Bakshy
44
241
0
09 Jun 2020
Scalable Constrained Bayesian Optimization
Scalable Constrained Bayesian Optimization
David Eriksson
Matthias Poloczek
61
99
0
20 Feb 2020
Variational Bayesian Optimal Experimental Design
Variational Bayesian Optimal Experimental Design
Adam Foster
M. Jankowiak
Eli Bingham
Paul Horsfall
Yee Whye Teh
Tom Rainforth
Noah D. Goodman
71
136
0
13 Mar 2019
BOHB: Robust and Efficient Hyperparameter Optimization at Scale
BOHB: Robust and Efficient Hyperparameter Optimization at Scale
Stefan Falkner
Aaron Klein
Frank Hutter
BDL
181
1,093
0
04 Jul 2018
A Flexible Framework for Multi-Objective Bayesian Optimization using
  Random Scalarizations
A Flexible Framework for Multi-Objective Bayesian Optimization using Random Scalarizations
Biswajit Paria
Kirthevasan Kandasamy
Barnabás Póczós
113
130
0
30 May 2018
GPflowOpt: A Bayesian Optimization Library using TensorFlow
GPflowOpt: A Bayesian Optimization Library using TensorFlow
Nicolas Knudde
J. Herten
T. Dhaene
Ivo Couckuyt
GP
47
78
0
10 Nov 2017
Predictive Entropy Search for Multi-objective Bayesian Optimization with
  Constraints
Predictive Entropy Search for Multi-objective Bayesian Optimization with Constraints
Daniel Hernández-Lobato
Daniel Hernández-Lobato
49
112
0
05 Sep 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
38
93
0
31 May 2016
Hyperband: A Novel Bandit-Based Approach to Hyperparameter Optimization
Hyperband: A Novel Bandit-Based Approach to Hyperparameter Optimization
Lisha Li
Kevin Jamieson
Giulia DeSalvo
Afshin Rostamizadeh
Ameet Talwalkar
199
2,321
0
21 Mar 2016
Multi-Information Source Optimization
Multi-Information Source Optimization
Matthias Poloczek
Jialei Wang
P. Frazier
72
198
0
01 Mar 2016
A General Framework for Constrained Bayesian Optimization using
  Information-based Search
A General Framework for Constrained Bayesian Optimization using Information-based Search
José Miguel Hernández-Lobato
M. Gelbart
Ryan P. Adams
Matthew W. Hoffman
Zoubin Ghahramani
45
165
0
30 Nov 2015
Batch Bayesian Optimization via Local Penalization
Batch Bayesian Optimization via Local Penalization
Javier I. González
Zhenwen Dai
Philipp Hennig
Neil D. Lawrence
70
353
0
29 May 2015
Predictive Entropy Search for Bayesian Optimization with Unknown
  Constraints
Predictive Entropy Search for Bayesian Optimization with Unknown Constraints
José Miguel Hernández-Lobato
M. Gelbart
Matthew W. Hoffman
Ryan P. Adams
Zoubin Ghahramani
58
153
0
18 Feb 2015
Generalized Product of Experts for Automatic and Principled Fusion of
  Gaussian Process Predictions
Generalized Product of Experts for Automatic and Principled Fusion of Gaussian Process Predictions
Yanshuai Cao
David J. Fleet
38
186
0
28 Oct 2014
Practical Bayesian Optimization of Machine Learning Algorithms
Practical Bayesian Optimization of Machine Learning Algorithms
Jasper Snoek
Hugo Larochelle
Ryan P. Adams
319
7,923
0
13 Jun 2012
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