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Books by Francis Bach






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






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






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






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






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






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






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






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






The Well-Tempered Clavier
48 Preludes and Fugues Book II (Dover Classical Music for Keyboard and Piano Four Hands)
by Johann Sebastian Bach, Donald Francis Tovey, Eric Wen, Dover Publications, Bach Jean-Sébastien
Paperback, 208 Pages, Published 2013 by Dover Publications
ISBN-13: 978-0-486-49370-1, ISBN: 0-486-49370-9






The Well-Tempered Clavier
48 Preludes and Fugues Book I
by Johann Sebastian Bach, Donald Francis Tovey, Eric Wen, Bach Jean-Sébastien
Paperback, 192 Pages, Published 2014 by Dover Publications
ISBN-13: 978-0-486-49371-8, ISBN: 0-486-49371-7






Bach's The Art of Fugue and A Companion to The Art of Fugue(Illustrated)
(Dover Classical Music for Keyboard and Piano Four Hands)
by Donald Francis Tovey, Eric Wen, Johann Sebastian Bach, Andras Schiff, Dover Publications
Paperback, 240 Pages, Published 2013 by Dover Publications
ISBN-13: 978-0-486-49764-8, ISBN: 0-486-49764-X






Principles of Data Mining(1st Edition)
(Adaptive Computation and Machine Learning)
by David J. Hand, Heikki Mannila, Professor Padhraic Smyth, Francis Bach
Hardcover, 578 Pages, Published 2001 by A Bradford Book
ISBN-13: 978-0-262-08290-7, ISBN: 0-262-08290-X






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(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






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






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






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



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