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Optimization for machine learning

Author: Suvrit Sra; Sebastian Nowozin; Stephen J Wright
Publisher: Cambridge, Mass. : MIT Press, ©2012.
Series: Neural information processing series.
Edition/Format:   eBook : Document : EnglishView all editions and formats
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Genre/Form: Electronic books
Additional Physical Format: Print version:
Optimization for machine learning.
Cambridge, Mass. : MIT Press, c2012
(DLC) 2011002059
(OCoLC)701493361
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Suvrit Sra; Sebastian Nowozin; Stephen J Wright
ISBN: 9780262298773 0262298775 1283302845 9781283302845
OCLC Number: 758384972
Description: 1 online resource (ix, 494 p.) : ill.
Contents: Introduction : Optimization and machine learning / S. Sra, S. Nowozin, and S.J. Wright --
Convex optimization with sparsity-inducing norms / F. Bach, R. Jenatton, J. Mairal, and G. Obozinski --
Interior-point methods for large-scale cone programming / M. Andersen, J. Dahl, Z. Liu, and L. Vanderberghe --
Incremental gradient, subgradient, and proximal methods for convex optimization : a survey / D. P. Bertsekas --
First-order methods for nonsmooth convex large-scale optimization, I : general purpose methods / A. Juditsky and A. Nemirovski --
First-order methods for nonsmooth convex large-scale optimization, II : utilizing problem's structure / A. Juditsky and A. Nemirovski --
Cutting-plane methods in machine learning / V. Franc, S. Sonnenburg, and T. Werner --
Introduction to dual decomposition for inference / D. Sontag, A. Globerson, and T. Jaakkola --
Augmented Lagrangian methods for learning, selecting, and combining features / R. Tomioka, T. Suzuki, and M. Sugiyama --
The convex optimization approach to regret minimization / E. Hazan --
Projected Newton-type methods in machine learning / M. Schmidt, D. Kim, and S. Sra --
Interior-point methods in machine learning / J. Gondzio --
The tradeoffs of large-scale learning / L. Bottou and O. Bousquet --
Robust optimization in machine learning / C. Caramanis, S. Mannor, and H. Xu --
Improving first and second-order methods by modeling uncertainty / N. Le Roux, Y. Bengio, and A. Fitzgibbon --
Bandit view on noisy optimization / J.-Y. Audibert, S. Bubeck, and R. Munos --
Optimization methods for sparse inverse covariance selection / K. Scheinberg and S. Ma --
A pathwise algorithm for covariance selection / V. Krishnamurthy, S. D. Ahipasaoglu, and A. d'Aspremont.
Series Title: Neural information processing series.
Responsibility: edited by Suvrit Sra, Sebastian Nowozin, and Stephen J. Wright.

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