Media Summary: MOBILE ROBOTICS: METHODS & ALGORITHMS - WINTER 2022 University of Michigan - NA 568/EECS 568/ROB 530 For slides, ... Stefanie Jegelka, MIT Foundations of Machine ... Models, Inference and Algorithms Broad Institute of MIT and Harvard September 26, 2018 MIA Meeting: ...

Lecture 15 Submodular Functions Optimization - Detailed Analysis & Overview

MOBILE ROBOTICS: METHODS & ALGORITHMS - WINTER 2022 University of Michigan - NA 568/EECS 568/ROB 530 For slides, ... Stefanie Jegelka, MIT Foundations of Machine ... Models, Inference and Algorithms Broad Institute of MIT and Harvard September 26, 2018 MIA Meeting: ... Niv Buchbinder, Tel Aviv University Discrete Many problems in machine learning that involve discrete structures or subset selection may be phrased in the language of ... A Google Algorithms TechTalk, 2021/01/14, presented by Mehrdad Ghadiri.

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Lecture 15, Submodular Functions, Optimization, & Applications to Machine Learning
Lecture 15-Optimization & Smoothing II
Submodularity: Theory and Applications I
MIA: Yaron Singer, Maximizing submodular functions exponentially faster; Primer: Adam Breuer
Submodular Optimization
Lecture 16, Submodular Functions, Optimization, & Applications to Machine Learning
Lecture 19, Submodular Functions, Optimization, & Applications to Machine Learning
Submodular Optimization and Machine Learning - Part 1
Lecture 17, Submodular Functions, Optimization, & Applications to Machine Learning
MIT 6.854 Spring 2016 Lecture 13: Submodular Functions
Beyond Submodular Maximization via One-Sided Smoothness and Meta-Submodularity
EE596B Lecture 5, Submodular Functions, Optimization, and Applications to Machine Learning
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Lecture 15, Submodular Functions, Optimization, & Applications to Machine Learning

Lecture 15, Submodular Functions, Optimization, & Applications to Machine Learning

Submodular Functions

Lecture 15-Optimization & Smoothing II

Lecture 15-Optimization & Smoothing II

MOBILE ROBOTICS: METHODS & ALGORITHMS - WINTER 2022 University of Michigan - NA 568/EECS 568/ROB 530 For slides, ...

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 ...

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: ...

Submodular Optimization

Submodular Optimization

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

Lecture 16, Submodular Functions, Optimization, & Applications to Machine Learning

Lecture 16, Submodular Functions, Optimization, & Applications to Machine Learning

Submodular Functions

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

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

Submodular Functions

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 ...

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

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

Submodular Functions

MIT 6.854 Spring 2016 Lecture 13: Submodular Functions

MIT 6.854 Spring 2016 Lecture 13: Submodular Functions

Recorded by Andrew Xia 2016.

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.

EE596B Lecture 5, Submodular Functions, Optimization, and Applications to Machine Learning

EE596B Lecture 5, Submodular Functions, Optimization, and Applications to Machine Learning

Submodular Functions

EE596B Lecture 3, Submodular Functions, Optimization, and Applications to Machine Learning

EE596B Lecture 3, Submodular Functions, Optimization, and Applications to Machine Learning

Submodular Functions