Submodular Optimization And Machine Learning

Media Summary: Haotian Jiang (Microsoft Research, Redmond) ... Niv Buchbinder, Tel Aviv University Discrete Mahdi Soltanolkotabi, University of Southern California Fast ...

Submodular Optimization And Machine Learning - Detailed Analysis & Overview

Haotian Jiang (Microsoft Research, Redmond) ... Niv Buchbinder, Tel Aviv University Discrete Mahdi Soltanolkotabi, University of Southern California Fast ... The 32nd International Conference on Algorithmic

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Submodularity - Stefanie Jegelka - MLSS 2017

Submodular Optimization and Machine Learning - Part 1

Submodularity: Theory and Applications I

MIT 6.854 Spring 2016 Lecture 13: Submodular Functions

Submodularity and Optimization -- Jeff Bilmes (Part 1)

5-2 Submodular Maximization

Recent Progress on Submodular Function Minimization

Machine Learning Work Shop - Why Submodularity is Important to Machine Learning

SysML 19: Lei Qi, Discrete Adversarial Attacks and Submodular Optimization

Submodular Optimization

Submodular Optimization and Machine Learning - Part 2

Nonconvex Optimization for High-dimensional Learning: From ReLUs to Submodular Maximization

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Submodularity - Stefanie Jegelka - MLSS 2017

Submodularity - Stefanie Jegelka - MLSS 2017

This is Stefanie Jegelka's lecture on

Submodular Optimization and Machine Learning - Part 1

Submodular Optimization and Machine Learning - Part 1

Many problems in

Submodularity: Theory and Applications I

Submodularity: Theory and Applications I

Stefanie Jegelka, MIT https://simons.berkeley.edu/talks/andreas-krause-stefanie-jegelka-01-23-2017-1 Foundations of

MIT 6.854 Spring 2016 Lecture 13: Submodular Functions

MIT 6.854 Spring 2016 Lecture 13: Submodular Functions

Recorded by Andrew Xia 2016.

Submodularity and Optimization -- Jeff Bilmes (Part 1)

Submodularity and Optimization -- Jeff Bilmes (Part 1)

Intro ...

5-2 Submodular Maximization

5-2 Submodular Maximization

Submodular Optimization

Recent Progress on Submodular Function Minimization

Recent Progress on Submodular Function Minimization

Haotian Jiang (Microsoft Research, Redmond) ...

Machine Learning Work Shop - Why Submodularity is Important to Machine Learning

Machine Learning Work Shop - Why Submodularity is Important to Machine Learning

Machine Learning

SysML 19: Lei Qi, Discrete Adversarial Attacks and Submodular Optimization

SysML 19: Lei Qi, Discrete Adversarial Attacks and Submodular Optimization

... Alex and English it so we know that

Submodular Optimization

Submodular Optimization

Niv Buchbinder, Tel Aviv University https://simons.berkeley.edu/talks/niv-buchbinder-09-13-17 Discrete

Submodular Optimization and Machine Learning - Part 2

Submodular Optimization and Machine Learning - Part 2

Many problems in

Nonconvex Optimization for High-dimensional Learning: From ReLUs to Submodular Maximization

Nonconvex Optimization for High-dimensional Learning: From ReLUs to Submodular Maximization

Mahdi Soltanolkotabi, University of Southern California https://simons.berkeley.edu/talks/mahdi-soltanolkotabi-10-05-17 Fast ...

Submodular Combinatorial Information Measures with Applications in Machine Learning

Submodular Combinatorial Information Measures with Applications in Machine Learning

The 32nd International Conference on Algorithmic