Transactions of the Japan Society for Industrial and Applied Mathematics
Online ISSN : 2424-0982
ISSN-L : 0917-2246
Prametric Programming for Machine Learning Algorithms(Survey,<Special Topics>Activity Group "Machine Learning")
Ichiro Takeuchi
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2013 Volume 23 Issue 3 Pages 517-536

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Abstract
Many optimization problems in machine learning are interpreted as parametric programming problems parametrized by one or more hyper-parameters. Parametric programming techniques have been shown to be useful in many machine learning tasks since it allows us to compute a path of optimal solutions for a range of different hyper-parameter values. In this paper we describe parametric programming techniques for machine learning algorithms, and review several applications and recent research topics in this area.
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© 2013 The Japan Society for Industrial and Applied Mathematics
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