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Relaxed Gaussian Process Interpolation: a Goal-Oriented Approach to Bayesian Optimization

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Published in:JMLR
Format: Online Article RSS Article
Published: 2026
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publishDate 2026
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spellingShingle Relaxed Gaussian Process Interpolation: a Goal-Oriented Approach to Bayesian Optimization
Artificial Intelligence & Machine Learning
Computer Science & IT
Engineering & Technology
sub_discipline_display Computer Science & IT
sub_discipline_facet Computer Science & IT
subject_display Artificial Intelligence & Machine Learning
Computer Science & IT
Engineering & Technology
Artificial Intelligence & Machine Learning
Computer Science & IT
Engineering & Technology
subject_facet Artificial Intelligence & Machine Learning
Computer Science & IT
Engineering & Technology
title Relaxed Gaussian Process Interpolation: a Goal-Oriented Approach to Bayesian Optimization
title_auth Relaxed Gaussian Process Interpolation: a Goal-Oriented Approach to Bayesian Optimization
title_full Relaxed Gaussian Process Interpolation: a Goal-Oriented Approach to Bayesian Optimization
title_fullStr Relaxed Gaussian Process Interpolation: a Goal-Oriented Approach to Bayesian Optimization
title_full_unstemmed Relaxed Gaussian Process Interpolation: a Goal-Oriented Approach to Bayesian Optimization
title_short Relaxed Gaussian Process Interpolation: a Goal-Oriented Approach to Bayesian Optimization
title_sort relaxed gaussian process interpolation: a goal-oriented approach to bayesian optimization
topic Artificial Intelligence & Machine Learning
Computer Science & IT
Engineering & Technology
url http://jmlr.org/papers/v26/22-0828.html