Practical Bayesian Optimization of Machine Learning Algorithms

Snoek, Jasper; Larochelle, Hugo; Adams, Ryan P.

preprintDigital Access to Scholarship at Harvard (DASH) (Harvard University)Jun 13, 2012GREEN OA

Practical Bayesian Optimization of Machine Learning Algorithms

JSJasper Snoek HLHugo Larochelle RPRyan P. Adams

Université de Sherbrooke · Harvard University

Abstract

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Citation impact

994

total citations

FWCI: —
Percentile: —
References: 0

Citations per year

Authors

JS
Jasper SnoekCorresponding
HL
Hugo Larochelle
Université de Sherbrooke
RP
Ryan P. Adams
Harvard University

Topics & keywords

Topics

Gaussian Processes and Bayesian Inference100%
Machine Learning and Data Classification100%
Advanced Multi-Objective Optimization Algorithms98%

Keywords

Bayesian optimization
Machine learning
Computer science
Artificial intelligence
Hyperparameter
Leverage (statistics)
Gaussian process
Algorithm

No related works found for this paper.

Funding

DA
Defense Advanced Research Projects Agency
NS
Natural Sciences and Engineering Research Council of Canada