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Mathematical optimization / Operations research / Frank–Wolfe algorithm / Constraint algorithm / Vector space / Duality / Algebra / Mathematics / Numerical analysis


Complexity Issues and Randomization Strategies in Frank-Wolfe Algorithms for Machine Learning Emanuele Frandi 1∗ ESAT-STADIUS KU Leuven, Belgium
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Document Date: 2014-12-10 11:28:02

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Raton / Cambridge / Asuncion / Amsterdam / /

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Neural Networks / MIT Press / Intel / /

Country

Netherlands / United States / /

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pence / /

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Facility

Informatics Federico Santa María University / /

IndustryTerm

analytical solution / important by-product / less accurate solution / convergent linear-time first-order algorithm / iterative nearest point algorithm / gradient algorithms / Web w8a Test / Web w8a / /

OperatingSystem

Linux / /

Organization

Informatics Federico Santa María University / MIT / Flemish Government / European Research Council / Belgium Ricardo Ñanculef 2∗ Department / Congress / Belgian Federal Science Policy Office / European Union / /

Person

Regularization / Johan Suykens / H. Allende / Integer / Ricardo Ñanculef / C. Sartori / R. Ñanculef / E. Frandi / /

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Position

editor / /

ProgrammingLanguage

C++ / /

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GOA / /

PublishedMedium

Machine Learning / Journal of Machine Learning Research / Lecture Notes in Computer Science / /

Technology

RAM / Frank-Wolfe algorithm / Conditional gradient algorithms / Belgium Abstract Frank-Wolfe algorithms / Linux / Frank-Wolfe algorithms / 1 Introduction The Frank-Wolfe algorithm / Machine Learning / iterative nearest point algorithm / FW algorithms / caching / /

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