Ee596b Lecture 7 Submodular Functions

Media Summary: Final comments on gross substitutes valuations (see last section of the Speaker: Fabien Mathieu (Swapcard). Webpage: Professor Stephen Boyd, of the Stanford University Electrical Engineering department, expands upon his previous

Ee596b Lecture 7 Submodular Functions - Detailed Analysis & Overview

Final comments on gross substitutes valuations (see last section of the Speaker: Fabien Mathieu (Swapcard). Webpage: Professor Stephen Boyd, of the Stanford University Electrical Engineering department, expands upon his previous

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EE596B Lecture 7, Submodular Functions, Optimization, & Applications to Machine Learning

Frontiers in Mechanism Design (Lecture 7: Submodular Valuations)

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Introduction to Submodular Functions

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Submodularity - Stefanie Jegelka - MLSS 2017

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EE596B Lecture 7, Submodular Functions, Optimization, & Applications to Machine Learning

EE596B Lecture 7, Submodular Functions, Optimization, & Applications to Machine Learning

Submodular Functions

Frontiers in Mechanism Design (Lecture 7: Submodular Valuations)

Frontiers in Mechanism Design (Lecture 7: Submodular Valuations)

Final comments on gross substitutes valuations (see last section of the

EE596B Lecture 6, Submodular Functions, Optimization, & Applications to Machine Learning

EE596B Lecture 6, Submodular Functions, Optimization, & 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-

Lecture 7 | Convex Optimization I

Lecture 7 | Convex Optimization I

Professor Stephen Boyd, of the Stanford University Electrical Engineering department, expands upon his previous

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

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

Submodular Functions

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

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

Submodular Functions

Submodularity - Stefanie Jegelka - MLSS 2017

Submodularity - Stefanie Jegelka - MLSS 2017

This is Stefanie Jegelka's

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

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

Submodular Functions

Lecture 8, Submodular Functions, Optimization, & Applications to Machine Learning

Lecture 8, Submodular Functions, Optimization, & Applications to Machine Learning

Submodular Functions

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

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

EE596B Submodular Functions