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Bundle Methods for Regularized Risk Minimization

Teo, Choon-Hui; Vishwanathan, S.V.N.; Smola, Alexander; Quoc, V, Le


A wide variety of machine learning problems can be described as minimizing a regularized risk functional, with different algorithms using different notions of risk and different regularizers. Examples include linear Support Vector Machines (SVMs), Gaussian Processes, Logistic Regression, Conditional Random Fields (CRFs), and Lasso amongst others. This paper describes the theory and implementation of a scalable and modular convex solver which solves all these estimation problems. It can be...[Show more]

CollectionsANU Research Publications
Date published: 2010
Type: Journal article
Source: Journal of Machine Learning Research


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