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» Bundle Methods for Machine Learning

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ICML
2009
IEEE

169views Machine Learning» more ICML 2009»

Proximal regularization for online and batch learning

14 years 8 months ago

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Many learning algorithms rely on the curvature (in particular, strong convexity) of regularized objective functions to provide good theoretical performance guarantees. In practice...

Chuong B. Do, Quoc V. Le, Chuan-Sheng Foo

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KDD
2007
ACM

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A scalable modular convex solver for regularized risk minimization

14 years 8 months ago

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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 r...

Choon Hui Teo, Alex J. Smola, S. V. N. Vishwanatha...

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ICML
2009
IEEE

165views Machine Learning» more ICML 2009»

An accelerated gradient method for trace norm minimization

14 years 8 months ago