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Differentially Private Bayesian Optimization

Published in PolyPublie (École Polytechnique de Montréal) • Jan 16, 2015
NobleIDNI9P65W85R85S18
Authors:
Matt J. Kusner
,
Jacob R. Gardner
,
Roman Garnett

Abstract

Bayesian optimization is a powerful tool for fine-tuning the hyper-parameters of a wide variety of machine learning models. The success of machine learning has led practitioners in diverse real-world settings to learn classifiers for practical problems. As machine learning becomes commonplace, Bayes...

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