5 2 Submodular Maximization Information Guide

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5-2 Submodular Maximization News
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Submodularity: Theory and Applications II News
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Information EE596B Lecture 2, Submodular Functions, Optimization, and Applications to Machine Learning Guide
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Submodular Optimization and Machine Learning - Part 2
Submodular Optimization and Machine Learning - Part 2
Alfredo Torrico - The Greedy Algorithm: An Effective and Flexible Tool in Submodular Optimization
Alfredo Torrico - The Greedy Algorithm: An Effective and Flexible Tool in Submodular Optimization
Monotone submodular maximization over a matroid - Yuval Filmus
Monotone submodular maximization over a matroid - Yuval Filmus
Morteza Zadimoghaddam - Submodular Maximization for Data Summarization
Morteza Zadimoghaddam - Submodular Maximization for Data Summarization
Jan Vondrak - Submodular Functions and Their Applications
Jan Vondrak - Submodular Functions and Their Applications
Submodularity - Stefanie Jegelka - MLSS 2017
Submodularity - Stefanie Jegelka - MLSS 2017
ISIT 2018 - Jeffrey Bilmes and Amin Karbasi - Submodularity in Information and Data Science
ISIT 2018 - Jeffrey Bilmes and Amin Karbasi - Submodularity in Information and Data Science
Continuous Methods for Submodular Maximization
Continuous Methods for Submodular Maximization
Tasuku Soma: Maximizing Monotone Submodular Functions over the Integer Lattice
Tasuku Soma: Maximizing Monotone Submodular Functions over the Integer Lattice
MIT 6.854 Spring 2016 Lecture 13: Submodular Functions
MIT 6.854 Spring 2016 Lecture 13: Submodular Functions
Submodularity and Optimization -- Jeff Bilmes (Part 2)
Submodularity and Optimization -- Jeff Bilmes (Part 2)

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Last Updated: October 23, 2026

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Submodularity: Theory and Applications I Guide
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Summary

... correct another optimization related to subm modular functions is the subm modular Andreas Krause, ETH Zürich simons.berkeley.edu/talks/andreas-krause-stefanie-jegelka-01-23-2017- Stefanie Jegelka, MIT simons.berkeley.edu/talks/andreas-krause-stefanie-jegelka-01-23-2017-1 Foundations of Machine ... Many problems in machine learning that involve discrete structures or subset selection may be phrased in the language of ... Part of Discrete Optimization Talks: talks.discreteopt.com Alfredo Torrico - Polytechnique Montréal The Greedy Algorithm: ... Yuval Filmus Member, School of Mathematics October 7, 2014 Monotone Dr. Morteza Zadimoghaddam Research Scientist @ Google Scientific Background Research Scientist @ Microsoft ... Jan Vondrak from IBM Almaden presents as part of the UBC Department of Computer Science's Distinguished Lecture Series, ... This is Stefanie Jegelka's lecture on 2018 ISIT Tutorial Vail, CO - 6/17/18 The study of combinatorial problems with a

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