Media Summary: Jeff Bilmes, University of Washington Interactive Stefanie Jegelka, MIT Foundations of Machine ... Speaker: Fabien Mathieu (Swapcard). Webpage:

Learning And Testing Submodular Functions - Detailed Analysis & Overview

Jeff Bilmes, University of Washington Interactive Stefanie Jegelka, MIT Foundations of Machine ... Speaker: Fabien Mathieu (Swapcard). Webpage: Models, Inference and Algorithms Broad Institute of MIT and Harvard September 26, 2018 MIA Meeting: ... In this talk, we tackle a fundamental problem that arises when using sensors to monitor the ecological condition of rivers and lakes ...

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Learning and testing submodular functions
Stefanie Jegelka: An introduction to Submodularity, Part 1
Submodularity - Stefanie Jegelka - MLSS 2017
Interactive Learning of Mixtures of Submodular Functions
Stefanie Jegelka: An introduction to submodularity, Part 2
Submodularity: Theory and Applications I
Introduction to Submodular Functions
Deep Mathematical Properties of Submodularity with Applications to Machine Learning
Submodular Optimization and Machine Learning - Part 1
MIA: Yaron Singer, Maximizing submodular functions exponentially faster; Primer: Adam Breuer
Lecture 19, Submodular Functions, Optimization, & Applications to Machine Learning
Submodularity and Optimization -- Jeff Bilmes (Part 1)
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Learning and testing submodular functions

Learning and testing submodular functions

Submodular functions

Stefanie Jegelka: An introduction to Submodularity, Part 1

Stefanie Jegelka: An introduction to Submodularity, Part 1

Abstract:

Submodularity - Stefanie Jegelka - MLSS 2017

Submodularity - Stefanie Jegelka - MLSS 2017

This is Stefanie Jegelka's lecture on

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

Stefanie Jegelka: An introduction to submodularity, Part 2

Stefanie Jegelka: An introduction to submodularity, Part 2

Abstract:

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 ...

Introduction to Submodular Functions

Introduction to Submodular Functions

Speaker: Fabien Mathieu (Swapcard). Webpage: https://www.lincs.fr/events/introduction-to-

Deep Mathematical Properties of Submodularity with Applications to Machine Learning

Deep Mathematical Properties of Submodularity with Applications to Machine Learning

Submodular functions

Submodular Optimization and Machine Learning - Part 1

Submodular Optimization and Machine Learning - Part 1

Many problems in 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: ...

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

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

Submodular Functions

Submodularity and Optimization -- Jeff Bilmes (Part 1)

Submodularity and Optimization -- Jeff Bilmes (Part 1)

Intro ...

Robust Sensor Placements and Submodular Functions

Robust Sensor Placements and Submodular Functions

In this talk, we tackle a fundamental problem that arises when using sensors to monitor the ecological condition of rivers and lakes ...