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Bayesian Optimization with Unknown Constraints

Bayesian Optimization with Unknown Constraints

22 March 2014
M. Gelbart
Jasper Snoek
Ryan P. Adams
ArXivPDFHTML

Papers citing "Bayesian Optimization with Unknown Constraints"

15 / 15 papers shown
Title
Surrogate-based optimization of system architectures subject to hidden constraints
Surrogate-based optimization of system architectures subject to hidden constraints
J. Bussemaker
P. Saves
N. Bartoli
T. Lefebvre
Björn Nagel
AI4CE
342
2
0
11 Apr 2025
Safe Bayesian Optimization for the Control of High-Dimensional Embodied Systems
Safe Bayesian Optimization for the Control of High-Dimensional Embodied Systems
Yunyue Wei
Zeji Yi
Hongda Li
Saraswati Soedarmadji
Yanan Sui
54
0
0
31 Dec 2024
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
359
0
0
06 Nov 2024
CATBench: A Compiler Autotuning Benchmarking Suite for Black-box Optimization
CATBench: A Compiler Autotuning Benchmarking Suite for Black-box Optimization
Jacob O. Tørring
Carl Hvarfner
Luigi Nardi
Magnus Sjalander
78
1
0
24 Jun 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
68
2
0
22 Feb 2024
Multi-objective optimisation via the R2 utilities
Multi-objective optimisation via the R2 utilities
Ben Tu
N. Kantas
Robert M. Lee
B. Shafei
314
3
0
19 May 2023
Occupancy Map Building through Bayesian Exploration
Occupancy Map Building through Bayesian Exploration
Gilad Francis
Lionel Ott
Román Marchant
F. Ramos
69
22
0
01 Mar 2017
Exponential Regret Bounds for Gaussian Process Bandits with
  Deterministic Observations
Exponential Regret Bounds for Gaussian Process Bandits with Deterministic Observations
Nando de Freitas
Alex Smola
M. Zoghi
59
111
0
27 Jun 2012
Practical Bayesian Optimization of Machine Learning Algorithms
Practical Bayesian Optimization of Machine Learning Algorithms
Jasper Snoek
Hugo Larochelle
Ryan P. Adams
275
7,883
0
13 Jun 2012
Entropy Search for Information-Efficient Global Optimization
Entropy Search for Information-Efficient Global Optimization
Philipp Hennig
Christian J. Schuler
93
671
0
06 Dec 2011
A Reliable Effective Terascale Linear Learning System
A Reliable Effective Terascale Linear Learning System
Alekh Agarwal
O. Chapelle
Miroslav Dudík
John Langford
72
418
0
19 Oct 2011
Convergence rates of efficient global optimization algorithms
Convergence rates of efficient global optimization algorithms
Adam D. Bull
85
641
0
18 Jan 2011
A Tutorial on Bayesian Optimization of Expensive Cost Functions, with
  Application to Active User Modeling and Hierarchical Reinforcement Learning
A Tutorial on Bayesian Optimization of Expensive Cost Functions, with Application to Active User Modeling and Hierarchical Reinforcement Learning
E. Brochu
Vlad M. Cora
Nando de Freitas
GP
108
2,437
0
12 Dec 2010
Slice sampling covariance hyperparameters of latent Gaussian models
Slice sampling covariance hyperparameters of latent Gaussian models
Iain Murray
Ryan P. Adams
92
232
0
04 Jun 2010
Elliptical slice sampling
Elliptical slice sampling
Iain Murray
Ryan P. Adams
D. MacKay
111
465
0
31 Dec 2009
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