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2106.00421
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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
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
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
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
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
Syrine Belakaria
Aryan Deshwal
J. Doppa
60
133
0
01 Sep 2020
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
Sam Daulton
Maximilian Balandat
E. Bakshy
44
241
0
09 Jun 2020
Scalable Constrained Bayesian Optimization
David Eriksson
Matthias Poloczek
61
99
0
20 Feb 2020
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
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
Biswajit Paria
Kirthevasan Kandasamy
Barnabás Póczós
113
130
0
30 May 2018
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
Daniel Hernández-Lobato
Daniel Hernández-Lobato
49
112
0
05 Sep 2016
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
Lisha Li
Kevin Jamieson
Giulia DeSalvo
Afshin Rostamizadeh
Ameet Talwalkar
199
2,321
0
21 Mar 2016
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
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
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
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
Yanshuai Cao
David J. Fleet
38
186
0
28 Oct 2014
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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