Media Summary: A Google Algorithms TechTalk, 2021/01/14, presented by Mehrdad Ghadiri. Models, Inference and Algorithms Broad Institute of MIT and Harvard September 26, 2018 MIA Meeting: ... Hi I'm Qi late from UT Austin and I'm gonna talk about discrete adversary attacks and some modular

Lecture 19 Submodular Functions Optimization - Detailed Analysis & Overview

A Google Algorithms TechTalk, 2021/01/14, presented by Mehrdad Ghadiri. Models, Inference and Algorithms Broad Institute of MIT and Harvard September 26, 2018 MIA Meeting: ... Hi I'm Qi late from UT Austin and I'm gonna talk about discrete adversary attacks and some modular Professor Stephen Boyd, of the Stanford University Electrical Engineering department, gives the final The study of combinatorial problems with a Jeff Bilmes, University of Washington Interactive Learning.

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Lecture 19, Submodular Functions, Optimization, & Applications to Machine Learning
Submodularity - Stefanie Jegelka - MLSS 2017
Beyond Submodular Maximization via One-Sided Smoothness and Meta-Submodularity
MIA: Yaron Singer, Maximizing submodular functions exponentially faster; Primer: Adam Breuer
SysML 19: Lei Qi, Discrete Adversarial Attacks and Submodular Optimization
Lecture 19 | Convex Optimization I (Stanford)
Lecture 18, Submodular Functions, Optimization, & Applications to Machine Learning
Continuous Methods for Submodular Maximization
Lecture 17, Submodular Functions, Optimization, & Applications to Machine Learning
Lecture 15, Submodular Functions, Optimization, & Applications to Machine Learning
EE596B Lecture 4, Submodular Functions, Optimization, and Applications to Machine Learning
Interactive Learning of Mixtures of Submodular Functions
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Lecture 19, Submodular Functions, Optimization, & Applications to Machine Learning

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

Submodular Functions

Submodularity - Stefanie Jegelka - MLSS 2017

Submodularity - Stefanie Jegelka - MLSS 2017

This is Stefanie Jegelka's

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.

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: ...

SysML 19: Lei Qi, Discrete Adversarial Attacks and Submodular Optimization

SysML 19: Lei Qi, Discrete Adversarial Attacks and Submodular Optimization

Hi I'm Qi late from UT Austin and I'm gonna talk about discrete adversary attacks and some modular

Lecture 19 | Convex Optimization I (Stanford)

Lecture 19 | Convex Optimization I (Stanford)

Professor Stephen Boyd, of the Stanford University Electrical Engineering department, gives the final

Lecture 18, Submodular Functions, Optimization, & Applications to Machine Learning

Lecture 18, Submodular Functions, Optimization, & Applications to Machine Learning

Submodular Functions

Continuous Methods for Submodular Maximization

Continuous Methods for Submodular Maximization

The study of combinatorial problems with a

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

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

Submodular Functions

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

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

Submodular Functions

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

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

Submodular Functions

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-02-17-2017 Interactive Learning.

MIT 6.854 Spring 2016 Lecture 13: Submodular Functions

MIT 6.854 Spring 2016 Lecture 13: Submodular Functions

Recorded by Andrew Xia 2016.