The Parallel Knowledge Gradient Method for Batch Bayesian Optimization

The Parallel Knowledge Gradient Method for Batch Bayesian Optimization

14 June 2016

Papers citing "The Parallel Knowledge Gradient Method for Batch Bayesian Optimization"

12 / 12 papers shown

Title
Gradient-based Sample Selection for Faster Bayesian Optimization Qiyu Wei Haowei Wang Zirui Cao Songhao Wang Richard Allmendinger Mauricio A Álvarez 43 0 0 10 Apr 2025
Co-Learning Bayesian Optimization Zhendong Guo Yew-Soon Ong Tiantian He Haitao Liu 120 2 0 23 Jan 2025
Distributed Thompson sampling under constrained communication Saba Zerefa Zhaolin Ren Haitong Ma Na Li 71 1 0 03 Jan 2025
Parallel Predictive Entropy Search for Batch Global Optimization of Expensive Objective Functions Amar Shah Zoubin Ghahramani 46 159 0 23 Nov 2015
Differentiating the multipoint Expected Improvement for optimal batch design Sébastien Marmin C. Chevalier D. Ginsbourger 44 51 0 18 Mar 2015
Predictive Entropy Search for Efficient Global Optimization of Black-box Functions José Miguel Hernández-Lobato Matthew W. Hoffman Zoubin Ghahramani 73 646 0 10 Jun 2014
Bayesian Optimization with Unknown Constraints M. Gelbart Jasper Snoek Ryan P. Adams 60 447 0 22 Mar 2014
Input Warping for Bayesian Optimization of Non-stationary Functions Jasper Snoek Kevin Swersky R. Zemel Ryan P. Adams 65 236 0 05 Feb 2014
Parallel Gaussian Process Optimization with Upper Confidence Bound and Pure Exploration E. Contal David Buffoni Alexandre Robicquet Nicolas Vayatis 49 213 0 19 Apr 2013
Parallelizing Exploration-Exploitation Tradeoffs with Gaussian Process Bandit Optimization Thomas Desautels Andreas Krause J. W. Burdick 83 471 0 27 Jun 2012
Practical Bayesian Optimization of Machine Learning Algorithms Jasper Snoek Hugo Larochelle Ryan P. Adams 292 7,883 0 13 Jun 2012
Gaussian Process Optimization in the Bandit Setting: No Regret and Experimental Design Niranjan Srinivas Andreas Krause Sham Kakade Matthias Seeger 131 1,616 0 21 Dec 2009