Media Summary: Niv Buchbinder, Tel Aviv University Discrete The 32nd International Conference on Algorithmic

Submodular Optimization And Machine Learning - Detailed Analysis & Overview

Niv Buchbinder, Tel Aviv University Discrete 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
Submodular Optimization for Minimizing Redundancy in Massive Data Sets | PyData Global 2021
Deep Mathematical Properties of Submodularity with Applications to Machine Learning
Machine Learning Work Shop  - Why Submodularity is Important to Machine Learning
Stefanie Jegelka: An introduction to Submodularity, Part 1
Submodular Optimization
SysML 19: Lei Qi, Discrete Adversarial Attacks and Submodular Optimization
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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

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

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

...

Deep Mathematical Properties of Submodularity with Applications to Machine Learning

Deep Mathematical Properties of Submodularity with Applications to Machine Learning

Submodular

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

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

Machine Learning

Stefanie Jegelka: An introduction to Submodularity, Part 1

Stefanie Jegelka: An introduction to Submodularity, Part 1

Abstract:

Submodular Optimization

Submodular Optimization

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

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 Combinatorial Information Measures with Applications in Machine Learning

Submodular Combinatorial Information Measures with Applications in Machine Learning

The 32nd International Conference on Algorithmic