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

236621 Submodular Optimization Tutorial 10 - Detailed Analysis & Overview

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 ... This videos from ICSI660 class in 12/03/2018. The professor is Feng Chen. He comes from University at Albany, State University ... Hope you will enjoy this video. I know my voiceover is lacking some emotion but i will try my best to improve that for my next video. Models, Inference and Algorithms Broad Institute of MIT and Harvard September 26, 2018 MIA Meeting: ...

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236621 - Submodular Optimization - Tutorial 10
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Submodularity: Theory and Applications I
Submodular Optimization and Machine Learning - Part 1
IJCAI 2020 Tutorial Part I: Submodular Optimization for Data, Feature, and Topic Summarization.
Lecture 10, Submodular Functions, Optimization, & Applications to Machine Learning
Submodular Optimization 1
EE596B Lecture 4, Submodular Functions, Optimization, and Applications to Machine Learning
Subgradients/Subderivatives - Convex Analysis
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236621 - Submodular Optimization - Tutorial 10

236621 - Submodular Optimization - Tutorial 10

Tutorial

236621 - Submodular Optimization - Tutorial 2

236621 - Submodular Optimization - Tutorial 2

Tutorial

236621 - Submodular Optimization - Tutorial 1

236621 - Submodular Optimization - Tutorial 1

Tutorial

236621 - Submodular Optimization - Tutorial 3

236621 - Submodular Optimization - Tutorial 3

Tutorial

236621 - Submodular Optimization - Tutorial 4

236621 - Submodular Optimization - Tutorial 4

Tutorial

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 ...

IJCAI 2020 Tutorial Part I: Submodular Optimization for Data, Feature, and Topic Summarization.

IJCAI 2020 Tutorial Part I: Submodular Optimization for Data, Feature, and Topic Summarization.

IJCAI 2020

Lecture 10, Submodular Functions, Optimization, & Applications to Machine Learning

Lecture 10, Submodular Functions, Optimization, & Applications to Machine Learning

Submodular

Submodular Optimization 1

Submodular Optimization 1

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

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

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

Submodular

Subgradients/Subderivatives - Convex Analysis

Subgradients/Subderivatives - Convex Analysis

Hope you will enjoy this video. I know my voiceover is lacking some emotion but i will try my best to improve that for my next video.

MIA: Yaron Singer, Maximizing submodular functions exponentially faster; Primer: Adam Breuer

MIA: Yaron Singer, Maximizing submodular functions exponentially faster; Primer: Adam Breuer

Models, Inference and Algorithms Broad Institute of MIT and Harvard September 26, 2018 MIA Meeting: ...