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| Only Books by Francis Bach | X |
 | | Probabilistic Graphical Models(1st Edition) Principles and Techniques (Adaptive Computation and Machine Learning series) by Daphne Koller, Nir Friedman, Francis Bach Hardcover, 1,280 Pages, Published 2009 by The Mit Press ISBN-13: 978-0-262-01319-2, ISBN: 0-262-01319-3 |
 | | Introduction to Statistical Relational Learning(1st Edition) (Adaptive Computation and Machine Learning series) by Lise Getoor, Ben Taskar, Nir Friedman, Andrew Mccallum, Avi Pfeffer, Pieter Abbeel, Daphne Koller, Charles Sutton, David Heckerman, Chris Meek, Jennifer Neville, David Jensen, James Cussens, Kristian Kersting, Ming-Fai Wong, Stephen Muggleton, Niels Pahlavi, Pedro Domingos, Matthew Richardson, Brian Milch, Sašo Džeroski, Bhaskara Marthi, Stuart Russell, David Sontag, Andrey Kolobov, Eyal Amir, Alexandrin Popescul, Luc De Raedt, Daniel L. Ong, Lyle H. Ungar, Jesse Davis, Elizabeth Burnside, Ines Dutra, David Page, Raghu Ramakrishnan, Jude Shavlik, Vitor Santos Costa, Alan Fern, Sungwook Yoon, Robert Givan, Razvan Bunescu, Raymond J. Mooney, Dan Roth, Wen-Tau Yih, Francis Bach, Saå¡O Då¾eroski, Mit Pr Hardcover, 608 Pages, Published 2007 by The Mit Press ISBN-13: 978-0-262-07288-5, ISBN: 0-262-07288-2 |
 | | Sparse Modeling for Image and Vision Processing (Foundations and Trends(r) in Computer Graphics and Vision) by Julien Mairal, Francis Bach, Jean Ponce Paperback, 214 Pages, Published 2014 by Now Publishers Inc ISBN-13: 978-1-68083-008-8, ISBN: 1-68083-008-2 |
 | | Learning with Submodular Functions A Convex Optimization Perspective (Foundations and Trends(r) in Machine Learning) by Francis Bach Paperback, 258 Pages, Published 2013 by Now Publishers Inc ISBN-13: 978-1-60198-756-3, ISBN: 1-60198-756-0 |
 | | Learning with Submodular Functions A Convex Optimization Perspective by Francis Bach, Now Publishers 228 Pages, Published 2013 ISBN-13: 978-1-60198-757-0, ISBN: 1-60198-757-9 |
 | | Foundations and Trends in Machine Learning, Issue 1 Optimization with Sparsity-Inducing Penalties by Francis Bach, Rodolphe Jenatton, Julien Mairal, Guillaume Obozinski 122 Pages, Published 2012 ISBN-13: 978-1-60198-511-8, ISBN: 1-60198-511-8 |
 | | Optimization for Machine Learning (Neural Information Processing series) by Suvrit Sra, Sebastian Nowozin, Stephen J. Wright, Francis Bach, Rodolphe Jenatton, Julien Mairal, Guillaume Obozinski, Martin Andersen, Joachim Dahl, Zhang Liu, Lieven Vandenberghe, Dimitri Bertsekas, Anatoli Juditsky, Arkadi Nemirovski, Vojtech Franc, Sören Sonnenburg, Thomáš Werner, David Sontag, Amir Globerson, Tommi Jaakkola, Ryota Tomioka, Taiji Suzuki, Masashi Sugiyama, Elad Hazan, Mark Schmidt, Dongmin Kim, Jacek Gondzio, Léon Bottou, Olivier Bousquet, Constantine Caramanis, Shie Mannor, Huan Xu, Nicolas Le Roux, Yoshua Bengio, Andrew Fitzgibbon, Jean-Yves Audibert, Sébsatien Bubeck, Rémi Munos, Katya Scheinberg, Shiqian Ma, Vijay Krishnamurthy, Selin Damla Ahipasaoglu, Alexandre D'aspremont Paperback, 512 Pages, Published 2011 by The Mit Press ISBN-13: 978-0-262-53776-6, ISBN: 0-262-53776-1 |
 | | Optimization for Machine Learning(1st Edition) (Neural Information Processing series) by Stephen J. Wright, Suvrit Sra, Sebastian Nowozin, Francis Bach, Rodolphe Jenatton, Julien Mairal, Guillaume Obozinski, Martin Andersen, Joachim Dahl, Zhang Liu, Lieven Vandenberghe, Dimitri Bertsekas, Anatoli Juditsky, Arkadi Nemirovski, Vojtech Franc, Sören Sonnenburg, Thomáš Werner, David Sontag, Amir Globerson, Tommi Jaakkola, Ryota Tomioka, Taiji Suzuki, Masashi Sugiyama, Elad Hazan, Mark Schmidt, Dongmin Kim, Jacek Gondzio, Léon Bottou, Olivier Bousquet, Constantine Caramanis, Shie Mannor, Huan Xu, Nicolas Le Roux, Yoshua Bengio, Andrew Fitzgibbon, Jean-Yves Audibert, Sébsatien Bubeck, Rémi Munos, Katya Scheinberg, Shiqian Ma, Vijay Krishnamurthy, Selin Damla Ahipasaoglu, Alexandre D'aspremont, Michael I. Jordan, Paul H. Sra, Researcher Sebastian Nowozin Hardcover, 512 Pages, Published 2011 by The Mit Press ISBN-13: 978-0-262-01646-9, ISBN: 0-262-01646-X |
 | | Optimization with Sparsity-Inducing Penalties (Foundations and Trends(r) in Machine Learning) by Francis Bach, Rodolphe Jenatton, Julien Mairal, Guillaume Obozinski Paperback, 124 Pages, Published 2011 by Now Publishers Inc ISBN-13: 978-1-60198-510-1, ISBN: 1-60198-510-X |
 | | Learning with Kernels(Reprint) Support Vector Machines, Regularization, Optimization, and Beyond (Adaptive Computation and Machine Learning series) by Alexander J. Smola, Bernhard Schölkopf, Professor For Machine Lea, Francis Bach Paperback, 648 Pages, Published 2018 by The Mit Press ISBN-13: 978-0-262-53657-8, ISBN: 0-262-53657-9 |
 | | Reinforcement Learning(2nd Edition) An Introduction (Adaptive Computation and Machine Learning series) by Richard S. Sutton, Andrew G. Barto, Francis Bach Hardcover, 552 Pages, Published 2018 by A Bradford Book ISBN-13: 978-0-262-03924-6, ISBN: 0-262-03924-9 |
 | | Machine Learning for Data Streams with Practical Examples in MOA (Adaptive Computation and Machine Learning series) by Albert Bifet, Geoffrey Holmes, Bernhard Pfahringer, Ricard Gavaldà, Francis Bach, Campus Nord Gavalda, Winston Edelbach Hardcover, 288 Pages, Published 2018 by The Mit Press ISBN-13: 978-0-262-03779-2, ISBN: 0-262-03779-3 |
 | | Foundations of Machine Learning(2nd Edition) (Adaptive Computation and Machine Learning series) by Mehryar Mohri, Afshin Rostamizadeh, Ameet Talwalkar, Francis Bach Hardcover, 504 Pages, Published 2018 by The Mit Press ISBN-13: 978-0-262-03940-6, ISBN: 0-262-03940-0 |
 | | Elements of Causal Inference Foundations and Learning Algorithms (Adaptive Computation and Machine Learning series) by Jonas Peters, Dominik Janzing, Bernhard Schölkopf, Francis Bach, Bernhard Schoelkopf Hardcover, 288 Pages, Published 2017 by The Mit Press ISBN-13: 978-0-262-03731-0, ISBN: 0-262-03731-9 |
 | | Deep Learning (Adaptive Computation and Machine Learning series) by Ian Goodfellow, Yoshua Bengio, Aaron Courville, Francis Bach Hardcover, 775 Pages, Published 2016 by The Mit Press ISBN-13: 978-0-262-03561-3, ISBN: 0-262-03561-8 |
 | | Boosting Foundations and Algorithms (Adaptive Computation and Machine Learning series) by Robert E. Schapire, Yoav Freund, Francis Bach, University Of California, San Diego Freund, Robert E., Microsoft Research Paperback, 544 Pages, Published 2014 by The Mit Press ISBN-13: 978-0-262-52603-6, ISBN: 0-262-52603-4 |
 | | Introduction to Machine Learning(3rd Edition) (Adaptive Computation and Machine Learning series) by Ethem Alpaydin, Francis Bach, Mit Press Hardcover, 640 Pages, Published 2014 by The Mit Press ISBN-13: 978-0-262-02818-9, ISBN: 0-262-02818-2 |
 | | Machine Learning in Non-Stationary Environments Introduction to Covariate Shift Adaptation (Adaptive Computation and Machine Learning series) by Masashi Sugiyama, Motoaki Kawanabe, Francis Bach Hardcover, 280 Pages, Published 2012 by The Mit Press ISBN-13: 978-0-262-01709-1, ISBN: 0-262-01709-1 |
 | | Foundations of Machine Learning (Adaptive Computation and Machine Learning series) by Mehryar Mohri, Afshin Rostamizadeh, Ameet Talwalkar, Francis Bach, Ameet Talwalker Hardcover, 412 Pages, Published 2012 by The Mit Press ISBN-13: 978-0-262-01825-8, ISBN: 0-262-01825-X |
 | | Machine Learning(1st Edition) A Probabilistic Perspective (Adaptive Computation and Machine Learning series) by Kevin P. Murphy, Francis Bach Hardcover, 1,104 Pages, Published 2012 by The Mit Press ISBN-13: 978-0-262-01802-9, ISBN: 0-262-01802-0 |
Francis Bach
