Predictive Entropy Search for Multi-objective Bayesian Optimization with Constraints

5 September 2016

Papers citing "Predictive Entropy Search for Multi-objective Bayesian Optimization with Constraints"

20 / 20 papers shown

Title
BOFormer: Learning to Solve Multi-Objective Bayesian Optimization via Non-Markovian RL Yu-Heng Hung Kai-Jie Lin Yu-Heng Lin Chien-Yi Wang Cheng Sun Ping-Chun Hsieh 54 1 0 28 May 2025
Information-theoretic Bayesian Optimization: Survey and Tutorial Eduardo C. Garrido-Merchán 121 1 0 22 Jan 2025
Multi-objective optimisation via the R2 utilities Ben Tu N. Kantas Robert M. Lee B. Shafei 331 3 0 19 May 2023
Robust Model-free Reinforcement Learning with Multi-objective Bayesian Optimization M. Turchetta Andreas Krause Sebastian Trimpe OffRL 48 42 0 29 Oct 2019
mlrMBO: A Modular Framework for Model-Based Optimization of Expensive Black-Box Functions B. Bischl Jakob Richter Jakob Bossek Daniel Horn Janek Thomas Michel Lang 51 168 0 09 Mar 2017
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
Parallel Predictive Entropy Search for Batch Global Optimization of Expensive Objective Functions Amar Shah Zoubin Ghahramani 61 159 0 23 Nov 2015
Predictive Entropy Search for Multi-objective Bayesian Optimization Daniel Hernández-Lobato José Miguel Hernández-Lobato Amar Shah Ryan P. Adams 129 189 0 17 Nov 2015
A Bayesian approach to constrained single- and multi-objective optimization Paul Feliot Julien Bect E. Vázquez 44 151 0 02 Oct 2015
Scalable Bayesian Optimization Using Deep Neural Networks Jasper Snoek Oren Rippel Kevin Swersky Ryan Kiros N. Satish N. Sundaram Md. Mostofa Ali Patwary P. Prabhat Ryan P. Adams BDL UQCV 89 1,043 0 19 Feb 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
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.4K 149,842 0 22 Dec 2014
Predictive Entropy Search for Efficient Global Optimization of Black-box Functions José Miguel Hernández-Lobato Matthew W. Hoffman Zoubin Ghahramani 96 647 0 10 Jun 2014
Bayesian Optimization with Unknown Constraints M. Gelbart Jasper Snoek Ryan P. Adams 73 449 0 22 Mar 2014
Student-t Processes as Alternatives to Gaussian Processes Amar Shah A. Wilson Zoubin Ghahramani GP 84 202 0 18 Feb 2014
Expectation Propagation for approximate Bayesian inference T. Minka 127 1,907 0 10 Jan 2013
Practical Bayesian Optimization of Machine Learning Algorithms Jasper Snoek Hugo Larochelle Ryan P. Adams 319 7,923 0 13 Jun 2012
Entropy Search for Information-Efficient Global Optimization Philipp Hennig Christian J. Schuler 116 673 0 06 Dec 2011
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 131 2,446 0 12 Dec 2010
Slice sampling covariance hyperparameters of latent Gaussian models Iain Murray Ryan P. Adams 101 232 0 04 Jun 2010