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" Optimization for machine learning / "
edited by Suvrit Sra, Sebastian Nowozin, and Stephen J. Wright.
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BL
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| Record Number
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626071
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| Doc. No
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dltt
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| Title & Author
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Optimization for machine learning /\ edited by Suvrit Sra, Sebastian Nowozin, and Stephen J. Wright.
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| Series Statement
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Neural information processing series
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| Page. NO
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ix, 494 pages :: illustrations ;; 26 cm.
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| ISBN
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9780262016469 (hardcover : alk. paper)
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: 026201646X (hardcover : alk. paper)
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| Bibliographies/Indexes
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Includes bibliographical references.
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| Contents
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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.
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| Subject
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Machine learning-- Mathematical models.
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| Subject
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Mathematical optimization.
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| Added Entry
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Sra, Suvrit,1976-
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Nowozin, Sebastian,1980-
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Wright, Stephen J.,1960-
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