Scalable Bayesian optimization with generalized product of experts

DOI10.1007/s10898-022-01236-xOpenAlexW4297347724MaRDI QIDQ6200385

Julius Žilinskas, Saulius Tautvaišas

Publication date: 22 March 2024

Published in: Journal of Global Optimization (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10898-022-01236-x

zbMATH Keywords

Gaussian processesBayesian optimizationgeneralized product of expertsglobal black-box optimization

Mathematics Subject Classification ID

Mathematical programming (90Cxx)

Related Items (1)

Preface

Cites Work

• Restart strategies in optimization: parallel and serial cases
• Improved strategies for radial basis function methods for global optimization
• On the choice of the low-dimensional domain for global optimization via random embeddings
• Bayesian Optimization in a Billion Dimensions via Random Embeddings
• Training Products of Experts by Minimizing Contrastive Divergence
• Introduction to Derivative-Free Optimization
• Axiomatisations of the average and a further generalisation of monotonic sequences
• On the distribution of points in a cube and the approximate evaluation of integrals
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