Active Learning for Enumerating Local Minima Based on Gaussian Process Derivatives

DOI10.1162/NECO_A_01307zbMath1497.68423arXiv1903.03279OpenAlexW3049180471WikidataQ98469093 ScholiaQ98469093MaRDI QIDQ3386417

Ichiro Takeuchi, Yu Inatsu, Kazuaki Toyoura, Daisuke Sugita

Publication date: 4 January 2021

Published in: Neural Computation (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1903.03279

Mathematics Subject Classification ID

Gaussian processes (60G15) Learning and adaptive systems in artificial intelligence (68T05) Stochastic programming (90C15)

Related Items (1)

Active Learning for Level Set Estimation Under Input Uncertainty and Its Extensions

Cites Work

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• Direct search methods: Then and now
• Local maxima of Gaussian fields
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• The Correlated Knowledge Gradient for Simulation Optimization of Continuous Parameters using Gaussian Process Regression

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