Bayesian optimization with approximate set kernels
type: Item
instance of: scholarly article
title: Bayesian optimization with approximate set kernels
author: Jungtaek Kim
author: Tackgeun You
author: Saehoon Kim
author: Seungjin Choi
author: Michael J. McCourt
published in: Machine Learning
publication date: 2021-11-24T00:00:00Z
full work available at URL: https://arxiv.org/abs/1905.09780
Mathematics Subject Classification ID: 68T05
zbMATH DE Number: 7432823
zbMATH Keywords: global optimization
zbMATH Keywords: Bayesian optimization
zbMATH Keywords: set optimization
describes a project that uses: UCI-ml
describes a project that uses: Scikit
describes a project that uses: Spearmint
describes a project that uses: Open3D
describes a project that uses: SMAC
describes a project that uses: L-BFGS
describes a project that uses: Hyperopt
describes a project that uses: k-means++
describes a project that uses: GaussQR
MaRDI profile type: Publication
OpenAlex ID: W3138674686
cites work: Q2934696
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cites work: Q5396710
cites work: Q4637053
cites work: Q3394879
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DOI: 10.1007/S10994-021-05949-0
description: scientific article; zbMATH DE number 7432823