Max-value Entropy Search for Efficient Bayesian Optimization

6 March 2017

Papers citing "Max-value Entropy Search for Efficient Bayesian Optimization"

21 / 21 papers shown

Title
GPRat: Gaussian Process Regression with Asynchronous Tasks Maksim Helmann Alexander Strack Dirk Pflüger GP 33 0 0 30 Apr 2025
Regularized infill criteria for multi-objective Bayesian optimization with application to aircraft design Robin Grapin Y. Diouane J. Morlier N. Bartoli T. Lefebvre P. Saves J. Bussemaker 18 8 0 11 Apr 2025
Pareto-frontier Entropy Search with Variational Lower Bound Maximization Masanori Ishikura Masayuki Karasuyama 48 0 0 31 Jan 2025
Co-Learning Bayesian Optimization Zhendong Guo Y. Ong Tiantian He Haitao Liu 80 2 0 23 Jan 2025
Cost-aware Bayesian Optimization via the Pandora's Box Gittins Index Qian Xie Raul Astudillo P. Frazier Ziv Scully Alexander Terenin 66 2 0 17 Jan 2025
Respecting the limit:Bayesian optimization with a bound on the optimal value Hanyang Wang Juergen Branke Matthias Poloczek 21 0 0 07 Nov 2024
Constrained Multi-objective Bayesian Optimization through Optimistic Constraints Estimation Diantong Li Fengxue Zhang Chong Liu Yuxin Chen 42 0 0 06 Nov 2024
Optimizing Posterior Samples for Bayesian Optimization via Rootfinding Taiwo A. Adebiyi Bach Do Ruda Zhang 34 2 0 29 Oct 2024
Amortized Probabilistic Conditioning for Optimization, Simulation and Inference Paul E. Chang Nasrulloh Loka Daolang Huang Ulpu Remes Samuel Kaski Luigi Acerbi AI4CE 33 4 0 20 Oct 2024
Machine Learning-Guided Design of Non-Reciprocal and Asymmetric Elastic Chiral Metamaterials Lingxiao Yuan Emma Lejeune Harold S. Park 18 0 0 19 Apr 2024
Learning Regions of Interest for Bayesian Optimization with Adaptive Level-Set Estimation Fengxue Zhang Jialin Song James Bowden Alexander Ladd Yisong Yue Thomas A. Desautels Yuxin Chen 22 6 0 25 Jul 2023
Gaussian Process Probes (GPP) for Uncertainty-Aware Probing Z. Wang Alexander Ku Jason Baldridge Thomas L. Griffiths Been Kim UQCV 13 11 0 29 May 2023
Randomized Gaussian Process Upper Confidence Bound with Tighter Bayesian Regret Bounds Shion Takeno Yu Inatsu Masayuki Karasuyama 10 13 0 03 Feb 2023
Inducing Point Allocation for Sparse Gaussian Processes in High-Throughput Bayesian Optimisation Henry B. Moss Sebastian W. Ober Victor Picheny 14 24 0 24 Jan 2023
Multi-Fidelity Bayesian Optimization with Unreliable Information Sources P. Mikkola Julien Martinelli Louis Filstroff Samuel Kaski 12 10 0 25 Oct 2022
Joint Entropy Search for Multi-objective Bayesian Optimization Ben Tu Axel Gandy N. Kantas B. Shafei 14 38 0 06 Oct 2022
Efficient computation of the Knowledge Gradient for Bayesian Optimization Juan Ungredda Michael Pearce Juergen Branke 22 2 0 30 Sep 2022
Investigating Bayesian optimization for expensive-to-evaluate black box functions: Application in fluid dynamics Mike Diessner Joseph O’Connor A. Wynn S. Laizet Yu Guan Kevin J. Wilson Richard D. Whalley 20 18 0 19 Jul 2022
A Probabilistic Machine Learning Approach to Scheduling Parallel Loops with Bayesian Optimization Kyurae Kim Youngjae Kim Sungyong Park 11 11 0 12 Jun 2022
Look-Ahead Acquisition Functions for Bernoulli Level Set Estimation Benjamin Letham Phillip Guan Chase Tymms E. Bakshy Michael Shvartsman 14 10 0 18 Mar 2022
Corruption-Tolerant Gaussian Process Bandit Optimization Ilija Bogunovic Andreas Krause Jonathan Scarlett 15 51 0 04 Mar 2020