Media Summary: In this lecture we give the basic greedy algorithm, and give the proof by Wolsey, Nemhauser and Fisher stating that if \mathcal{I} is ... In this lecture we consider the problem of maximizing a monotone Stefanie Jegelka, MIT Foundations of Machine ...

10 2 Submodular Functions Part - Detailed Analysis & Overview

In this lecture we give the basic greedy algorithm, and give the proof by Wolsey, Nemhauser and Fisher stating that if \mathcal{I} is ... In this lecture we consider the problem of maximizing a monotone Stefanie Jegelka, MIT Foundations of Machine ... This is the first lecture in the series on Speaker: Fabien Mathieu (Swapcard). Webpage: This is our first of seven lectures on Extended Formulations and Extension Complexity. We give a positive result: we define the ...

Jeff Bilmes, University of Washington Interactive Learning. A Google Algorithms TechTalk, 2021/01/14, presented by Mehrdad Ghadiri.

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10.2 Submodular Functions, Part II

10.2 Submodular Functions, Part II

In this lecture we give the basic greedy algorithm, and give the proof by Wolsey, Nemhauser and Fisher stating that if \mathcal{I} is ...

10.3 Submodular Functions, Part III

10.3 Submodular Functions, Part III

In this lecture we consider the problem of maximizing a monotone

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 ...

10.1 Submodular Functions, Part I

10.1 Submodular Functions, Part I

This is the first lecture in the series on

Introduction to Submodular Functions

Introduction to Submodular Functions

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

11.1 Extended Formulations, Part I

11.1 Extended Formulations, Part I

This is our first of seven lectures on Extended Formulations and Extension Complexity. We give a positive result: we define the ...

Stefanie Jegelka 2: Submodularity

Stefanie Jegelka 2: Submodularity

Bout is one particulo

EE596B Lecture 2, Submodular Functions, Optimization, and Applications to Machine Learning

EE596B Lecture 2, Submodular Functions, Optimization, and Applications to Machine Learning

EE596B

236621 - Submodular Optimization - Tutorial 2

236621 - Submodular Optimization - Tutorial 2

Tutorial no.

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.

Stefanie Jegelka 1: Submodularity

Stefanie Jegelka 1: Submodularity

Other we go there assume that

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.

Submodularity and Optimization -- Jeff Bilmes (Part 1)

Submodularity and Optimization -- Jeff Bilmes (Part 1)

Intro ...