Media Summary: Ran Haba, Ehsan Kazemi, Moran Feldman, and Amin Karbasi. Streaming Ehsan Kazemi, Shervin Minaee, Moran Feldman, and Amin Karbasi. Regularized A Google Algorithms TechTalk, 2021/01/14, presented by Mehrdad Ghadiri.

Icaps 2017 Submodular Function Maximization - Detailed Analysis & Overview

Ran Haba, Ehsan Kazemi, Moran Feldman, and Amin Karbasi. Streaming Ehsan Kazemi, Shervin Minaee, Moran Feldman, and Amin Karbasi. Regularized A Google Algorithms TechTalk, 2021/01/14, presented by Mehrdad Ghadiri. The study of combinatorial problems with a Stubborn Sets for Fully Observable Nondeterministic Planning Dominik Winterer, Yusra Alkhazraji, Michael Katz and MartinĀ ...

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ICAPS 2017: Submodular Function Maximization for Group Elevator Scheduling
MIT 6.854 Spring 2016 Lecture 13: Submodular Functions
ICAPS 2017: Multi-objective optimization in a job shop with energy costs ...
Submodularity: Theory and Applications I
MIA: Yaron Singer, Maximizing submodular functions exponentially faster; Primer: Adam Breuer
Streaming Submodular Maximization under a k-Set System Constraint (ICML 2020)
Regularized Submodular Maximization at Scale
Beyond Submodular Maximization via One-Sided Smoothness and Meta-Submodularity
Continuous Methods for Submodular Maximization
ICAPS 2017: Stubborn Sets for Fully Observable Nondeterministic Planning
Lecture 17, Submodular Functions, Optimization, & Applications to Machine Learning
Lecture 19, Submodular Functions, Optimization, & Applications to Machine Learning
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ICAPS 2017: Submodular Function Maximization for Group Elevator Scheduling

ICAPS 2017: Submodular Function Maximization for Group Elevator Scheduling

Submodular Function Maximization

MIT 6.854 Spring 2016 Lecture 13: Submodular Functions

MIT 6.854 Spring 2016 Lecture 13: Submodular Functions

Recorded by Andrew Xia 2016.

ICAPS 2017: Multi-objective optimization in a job shop with energy costs ...

ICAPS 2017: Multi-objective optimization in a job shop with energy costs ...

Multi-objective

Submodularity: Theory and Applications I

Submodularity: Theory and Applications I

Stefanie Jegelka, MIT https://simons.berkeley.edu/talks/andreas-krause-stefanie-jegelka-01-23-

MIA: Yaron Singer, Maximizing submodular functions exponentially faster; Primer: Adam Breuer

MIA: Yaron Singer, Maximizing submodular functions exponentially faster; Primer: Adam Breuer

The algorithms are designed for

Streaming Submodular Maximization under a k-Set System Constraint (ICML 2020)

Streaming Submodular Maximization under a k-Set System Constraint (ICML 2020)

Ran Haba, Ehsan Kazemi, Moran Feldman, and Amin Karbasi. Streaming

Regularized Submodular Maximization at Scale

Regularized Submodular Maximization at Scale

Ehsan Kazemi, Shervin Minaee, Moran Feldman, and Amin Karbasi. Regularized

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.

Continuous Methods for Submodular Maximization

Continuous Methods for Submodular Maximization

The study of combinatorial problems with a

ICAPS 2017: Stubborn Sets for Fully Observable Nondeterministic Planning

ICAPS 2017: Stubborn Sets for Fully Observable Nondeterministic Planning

Stubborn Sets for Fully Observable Nondeterministic Planning Dominik Winterer, Yusra Alkhazraji, Michael Katz and MartinĀ ...

Lecture 17, Submodular Functions, Optimization, & Applications to Machine Learning

Lecture 17, Submodular Functions, Optimization, & Applications to Machine Learning

Submodular Functions

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

Lecture 19, 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