| Description |
1 online resource (ix, 494 pages) : illustrations. |
| Physical Medium |
polychrome |
| Description |
text file |
| Series |
Neural information processing series
|
|
Neural information processing series.
|
| Bibliography |
Includes bibliographical references. |
| 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. |
| Local Note |
eBooks on EBSCOhost EBSCO eBook Subscription Academic Collection - North America |
| Subject |
Machine learning -- Mathematical models.
|
|
Machine learning -- Mathematical models. |
|
Machine learning. |
|
Mathematical optimization.
|
|
Mathematical optimization. |
| Genre/Form |
Electronic books.
|
| Added Author |
Sra, Suvrit, 1976-
|
|
Nowozin, Sebastian, 1980-
|
|
Wright, Stephen J., 1960-
|
| Other Form: |
Print version: Optimization for machine learning. Cambridge, Mass. : MIT Press, ©2012 9780262016469 (DLC) 2011002059 (OCoLC)701493361 |
| ISBN |
9780262298773 (electronic book) |
|
0262298775 (electronic book) |
|
1283302845 |
|
9781283302845 |
|
9780262016469 |
|
026201646X |
| Standard No. |
9786613302847 |
|
