Media Summary: In this lecture we consider the problem of maximizing a monotone This is the first lecture in the series on Speaker: Fabien Mathieu (Swapcard). Webpage:

10 3 Submodular Functions Part - Detailed Analysis & Overview

In this lecture we consider the problem of maximizing a monotone This is the first lecture in the series on Speaker: Fabien Mathieu (Swapcard). Webpage: Stefanie Jegelka, MIT Foundations of Machine ... In this lecture we give the basic greedy algorithm, and give the proof by Wolsey, Nemhauser and Fisher stating that if \mathcal{I} is ... That when we we can use the lavas extension to sort of show I mean we can we can minimize the

Presented at the IPCO Conference 2020 held at the London School of Economics and Political Science via Zoom Full title: ... Jeff Bilmes, University of Washington Interactive Learning. In this lecture we consider the maximum weight independent set problem for Matroids. We show that the Greedy algorithm is ...

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10.3 Submodular Functions, Part III

10.3 Submodular Functions, Part III

In this lecture we consider the problem of maximizing a monotone

10.1 Submodular Functions, Part I

10.1 Submodular Functions, Part I

This is the first lecture in the series on

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

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

Submodular Functions

Introduction to Submodular Functions

Introduction to Submodular Functions

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

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 ...

10.2 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 ...

Submodularity and Optimization -- Jeff Bilmes (Part 3)

Submodularity and Optimization -- Jeff Bilmes (Part 3)

That when we we can use the lavas extension to sort of show I mean we can we can minimize the

236621 - Submodular Optimization - Tutorial 3

236621 - Submodular Optimization - Tutorial 3

Tutorial no.

Lecture 10, Submodular Functions, Optimization, & Applications to Machine Learning

Lecture 10, Submodular Functions, Optimization, & Applications to Machine Learning

Submodular Functions

Xueyu Shi - Sequence Independent Lifting for Submodular Maximization

Xueyu Shi - Sequence Independent Lifting for Submodular Maximization

Presented at the IPCO Conference 2020 held at the London School of Economics and Political Science via Zoom Full title: ...

MIT 6.854 Spring 2016 Lecture 13: Submodular Functions

MIT 6.854 Spring 2016 Lecture 13: Submodular Functions

Recorded by Andrew Xia 2016.

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.

9.2 Matroids, Part II

9.2 Matroids, Part II

In this lecture we consider the maximum weight independent set problem for Matroids. We show that the Greedy algorithm is ...