Media Summary: This videos from ICSI660 class in 12/03/2018. The professor is Feng Chen. He comes from University at Albany, State University ... Stefanie Jegelka, MIT Foundations of Machine ... Many problems in machine learning that involve discrete structures or subset selection may be phrased in the language of ...

Submodular Optimization 4 - Detailed Analysis & Overview

This videos from ICSI660 class in 12/03/2018. The professor is Feng Chen. He comes from University at Albany, State University ... Stefanie Jegelka, MIT Foundations of Machine ... Many problems in machine learning that involve discrete structures or subset selection may be phrased in the language of ... Niv Buchbinder, Tel Aviv University Discrete A Google Algorithms TechTalk, 2021/01/14, presented by Mehrdad Ghadiri.

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Submodular Optimization 4
Submodularity - Stefanie Jegelka - MLSS 2017
236621 - Submodular Optimization - Tutorial 4
5-2 Submodular Maximization
EE596B Lecture 4, Submodular Functions, Optimization, and Applications to Machine Learning
Reflection methods for user-friendly submodular optimization
Submodularity: Theory and Applications I
Submodular Optimization and Machine Learning - Part 1
Submodular Optimization for Minimizing Redundancy in Massive Data Sets | PyData Global 2021
Submodularity and Optimization -- Jeff Bilmes (Part 1)
Submodular Optimization
Beyond Submodular Maximization via One-Sided Smoothness and Meta-Submodularity
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Submodular Optimization 4

Submodular Optimization 4

This videos from ICSI660 class in 12/03/2018. The professor is Feng Chen. He comes from University at Albany, State University ...

Submodularity - Stefanie Jegelka - MLSS 2017

Submodularity - Stefanie Jegelka - MLSS 2017

This is Stefanie Jegelka's lecture on

236621 - Submodular Optimization - Tutorial 4

236621 - Submodular Optimization - Tutorial 4

Tutorial no.

5-2 Submodular Maximization

5-2 Submodular Maximization

Submodular Optimization

EE596B Lecture 4, Submodular Functions, Optimization, and Applications to Machine Learning

EE596B Lecture 4, Submodular Functions, Optimization, and Applications to Machine Learning

Submodular

Reflection methods for user-friendly submodular optimization

Reflection methods for user-friendly submodular optimization

Recently, it has become evident that

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 Machine ...

Submodular Optimization and Machine Learning - Part 1

Submodular Optimization and Machine Learning - Part 1

Many problems in machine learning that involve discrete structures or subset selection may be phrased in the language of ...

Submodular Optimization for Minimizing Redundancy in Massive Data Sets | PyData Global 2021

Submodular Optimization for Minimizing Redundancy in Massive Data Sets | PyData Global 2021

Submodular Optimization

Submodularity and Optimization -- Jeff Bilmes (Part 1)

Submodularity and Optimization -- Jeff Bilmes (Part 1)

Intro ...

Submodular Optimization

Submodular Optimization

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

Beyond Submodular Maximization via One-Sided Smoothness and Meta-Submodularity

Beyond Submodular Maximization via One-Sided Smoothness and Meta-Submodularity

A Google Algorithms TechTalk, 2021/01/14, presented by Mehrdad Ghadiri.

MIT 6.854 Spring 2016 Lecture 13: Submodular Functions

MIT 6.854 Spring 2016 Lecture 13: Submodular Functions

Recorded by Andrew Xia 2016.