Media Summary: Stefanie Jegelka, MIT Foundations of Machine ... Models, Inference and Algorithms Broad Institute of MIT and Harvard September 26, 2018 MIA Meeting: ... A Google Algorithms TechTalk, 2021/01/14, presented by Mehrdad Ghadiri.

Lecture 17 Submodular Functions Optimization - Detailed Analysis & Overview

Stefanie Jegelka, MIT Foundations of Machine ... Models, Inference and Algorithms Broad Institute of MIT and Harvard September 26, 2018 MIA Meeting: ... A Google Algorithms TechTalk, 2021/01/14, presented by Mehrdad Ghadiri.

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Lecture 17, Submodular Functions, Optimization, & Applications to Machine Learning
Submodularity - Stefanie Jegelka - MLSS 2017
MIT 6.854 Spring 2016 Lecture 13: Submodular Functions
Submodularity: Theory and Applications I
Optimization Part 1 - Suvrit Sra - MLSS 2017
Submodular Optimization
MIA: Yaron Singer, Maximizing submodular functions exponentially faster; Primer: Adam Breuer
Beyond Submodular Maximization via One-Sided Smoothness and Meta-Submodularity
Sketching and Randomization for Distributed Submodular and Coverage Optimization
Submodularity and Optimization -- Jeff Bilmes (Part 1)
Interactive Learning of Mixtures of Submodular Functions
Submodular Unsplittable Flow on Trees
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Lecture 17, Submodular Functions, Optimization, & Applications to Machine Learning

Lecture 17, Submodular Functions, Optimization, & Applications to Machine Learning

Submodular Functions

Submodularity - Stefanie Jegelka - MLSS 2017

Submodularity - Stefanie Jegelka - MLSS 2017

This is Stefanie Jegelka's

MIT 6.854 Spring 2016 Lecture 13: Submodular Functions

MIT 6.854 Spring 2016 Lecture 13: Submodular Functions

Recorded by Andrew Xia 2016.

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 ...

Optimization Part 1 - Suvrit Sra - MLSS 2017

Optimization Part 1 - Suvrit Sra - MLSS 2017

This is Suvrit Sra's first talk on

Submodular Optimization

Submodular Optimization

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

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: ...

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.

Sketching and Randomization for Distributed Submodular and Coverage Optimization

Sketching and Randomization for Distributed Submodular and Coverage Optimization

Vahab Mirrokni, Google https://simons.berkeley.edu/talks/vahab-mirrokni-2016-11-

Submodularity and Optimization -- Jeff Bilmes (Part 1)

Submodularity and Optimization -- Jeff Bilmes (Part 1)

Intro ...

Interactive Learning of Mixtures of Submodular Functions

Interactive Learning of Mixtures of Submodular Functions

Jeff Bilmes, University of Washington https://simons.berkeley.edu/talks/jeff-bilmes-02-

Submodular Unsplittable Flow on Trees

Submodular Unsplittable Flow on Trees

Anna Adamaszek, University of Copenhagen https://simons.berkeley.edu/talks/anna-adamaszek-09-13-

Lecture 19, Submodular Functions, Optimization, & Applications to Machine Learning

Lecture 19, Submodular Functions, Optimization, & Applications to Machine Learning

Submodular Functions