Ee596b Lecture 6 Submodular Functions

Media Summary: Speaker: Fabien Mathieu (Swapcard). Webpage: Professor Stephen Boyd, of the Stanford University Electrical Engineering department, continues his A Google Algorithms TechTalk, 2021/01/14, presented by Mehrdad Ghadiri.

Ee596b Lecture 6 Submodular Functions - Detailed Analysis & Overview

Speaker: Fabien Mathieu (Swapcard). Webpage: Professor Stephen Boyd, of the Stanford University Electrical Engineering department, continues his A Google Algorithms TechTalk, 2021/01/14, presented by Mehrdad Ghadiri. In this talk, we tackle a fundamental problem that arises when using sensors to monitor the ecological condition of rivers and lakes ...

Photo Gallery

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

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

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

Introduction to Submodular Functions

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

Submodularity - Stefanie Jegelka - MLSS 2017

Lecture 6 | Convex Optimization I (Stanford)

Stefanie Jegelka: An introduction to Submodularity, Part 1

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

Beyond Submodular Maximization via One-Sided Smoothness and Meta-Submodularity

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

Robust Sensor Placements and Submodular Functions

View Detailed Profile

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

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

Submodular Functions

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

EE596B Lecture 7, Submodular Functions, Optimization, & 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

Introduction to Submodular Functions

Introduction to Submodular Functions

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

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

EE596B Lecture 4, 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

Lecture 6 | Convex Optimization I (Stanford)

Lecture 6 | Convex Optimization I (Stanford)

Professor Stephen Boyd, of the Stanford University Electrical Engineering department, continues his

Stefanie Jegelka: An introduction to Submodularity, Part 1

Stefanie Jegelka: An introduction to Submodularity, Part 1

Abstract:

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

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

Submodular Functions

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.

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

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 ...