Optimization For Machine Learning

By Zhang Liu, Arkadi Nemirovski, Masashi Sugiyama, Francis Bach, Olivier Bousquet, Rodolphe Jenatton, Alexandre D'Aspremont, Sebastian Nowozin, Dongmin Kim, Thomas, Werner, Lieven Vandenberghe, David Sontag, Taiji Suzuki, Stephen J. Wright, Mark Schmidt, Rémi Munos, Shie Mannor, Martin Andersen, Huan Xu, Elad Hazan, Suvrit Sra, Dimitri Bertsekas, Andrew FitzGibbon, Nicolas Le Roux, Anatoli Juditsky, Guillaume Obozinski, Shiqian Ma, Yoshua Bengio, Julien Mairal, Tommi Jaakkola, Katya Scheinberg, Joachim Dahl, Vojtech Franc, Sren Sonnenburg, Amir Globerson, Ryota Tomioka, Jacek Gondzio, Lon Bottou, Constantine Caramanis, Jean-Yves Audibert, Sbsatien Bubeck, Vijay Krishnamurthy, Selin Damla Ahipasaoglu

An up-to-date account of the interplay between optimization and machine learning, accessible to students and researchers in both communities. The interplay between optimization and machine learning...

Statistical Inference Via Convex Optimization

By Arkadi Nemirovski, Anatoli Juditsky

This Authoritative Book Draws On The Latest Research To Explore The Interplay Of High-dimensional Statistics With Optimization. Through An Accessible Analysis Of Fundamental Problems Of Hypothesis...

Optimization For Machine Learning

By Zhang Liu, Arkadi Nemirovski, Masashi Sugiyama, Francis Bach, Olivier Bousquet, Rodolphe Jenatton, Alexandre D'Aspremont, Sebastian Nowozin, Dongmin Kim, Thomas, Werner, Suvrit Sra, Lieven Vandenberghe, David Sontag, Taiji Suzuki, Stephen J. Wright, Mark Schmidt, Rémi Munos, Shie Mannor, Martin Andersen, Huan Xu, Elad Hazan, Dimitri Bertsekas, Andrew FitzGibbon, Nicolas Le Roux, Anatoli Juditsky, Guillaume Obozinski, Shiqian Ma, Yoshua Bengio, Julien Mairal, Tommi Jaakkola, Katya Scheinberg, Joachim Dahl, Vojtech Franc, Sren Sonnenburg, Amir Globerson, Ryota Tomioka, Jacek Gondzio, Lon Bottou, Constantine Caramanis, Jean-Yves Audibert, Sbsatien Bubeck, Vijay Krishnamurthy, Selin Damla Ahipasaoglu

An up-to-date account of the interplay between optimization and machine learning, accessible to students and researchers in both communities. The interplay between optimization and machine learning...

Optimization For Machine Learning

By Zhang Liu, Arkadi Nemirovski, Masashi Sugiyama, Francis Bach, Olivier Bousquet, Rodolphe Jenatton, Alexandre D'Aspremont, Sebastian Nowozin, Dongmin Kim, Thomas, Werner, Suvrit Sra, Lieven Vandenberghe, David Sontag, Taiji Suzuki, Stephen J. Wright, Mark Schmidt, Rémi Munos, Shie Mannor, Martin Andersen, Huan Xu, Elad Hazan, Dimitri Bertsekas, Andrew FitzGibbon, Nicolas Le Roux, Anatoli Juditsky, Guillaume Obozinski, Shiqian Ma, Yoshua Bengio, Julien Mairal, Tommi Jaakkola, Edited By Suvrit Sra, Sebastian Nowozin, Katya Scheinberg, Joachim Dahl, Vojtech Franc, Sren Sonnenburg, Amir Globerson, Ryota Tomioka, Jacek Gondzio, Lon Bottou, Constantine Caramanis, Jean-Yves Audibert, Sbsatien Bubeck, Vijay Krishnamurthy, Selin Damla Ahipasaoglu

An up-to-date account of the interplay between optimization and machine learning, accessible to students and researchers in both communities. The interplay between optimization and machine learning...

Statistical Inference Via Convex Optimization

By Arkadi Nemirovski, Anatoli Juditsky

This authoritative book draws on the latest research to explore the interplay of high-dimensional statistics with optimization. Through an accessible analysis of fundamental problems of hypothesis...

Robust Optimization (Princeton Series In Applied Mathematics (28))

By Arkadi Nemirovski, A.. Ben-Tal, Aharon Ben-Tal, Laurent El Ghaoui

Robust Optimization Is A Fairly New Approach To Optimization Problems Affected By Uncertainty, But It Has Already Proved So Useful In Real Applications That It Is Difficult To Tackle Such Problems...

Lectures On Modern Convex Optimization: Analysis, Algorithms, And Engineering Applications

By Arkadi Nemirovski, A.. Ben-Tal, Aharon Ben-Tal

Here is a book devoted to well-structured and thus efficiently solvable convex optimization problems, with emphasis on conic quadratic and semidefinite programming. The authors present the basic th...

Robust Optimization

By Arkadi Nemirovski, A.. Ben-Tal, Aharon Ben-Tal, Laurent El Ghaoui

Robust optimization is still a relatively new approach to optimization problems affected by uncertainty, but it has already proved so useful in real applications that it is difficult to tackle such...

Introduction To Linear Optimization Hb

By Arkadi Nemirovski

Contents Preface About the Author Main Notational Conventions 1. Introduction to LO: Examples of LO Models 1.1 LO program: Definition 1.1.1 An LO program 1.1.2 LO terminology 1.2 Examples of LO mod...

Essential Mathematics For Convex Optimization

By Arkadi Nemirovski, Fatma Kılınç-Karzan