Submodular Optimization And Machine Learning Part 1

By Editorial Team · October 1, 2026 · 9 min read

Submodular Optimization And Machine Learning Part 1 Information Guide

  1. Background on Submodular Optimization And Machine Learning Part 1
  2. Main Features
  3. Developments
  4. Detailed Analysis
  5. Summary

Background on Submodular Optimization And Machine Learning Part 1

Submodular Optimization and Machine Learning - Part 1 News
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Main Features

Information Stefanie Jegelka: An introduction to Submodularity, Part 1 Update
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Developments

Submodularity and Optimization -- Jeff Bilmes (Part 1) Guide
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Submodularity: Theory and Applications I
Submodularity: Theory and Applications I
Jan Vondrak - Submodular Functions and Their Applications
Jan Vondrak - Submodular Functions and Their Applications
Lecture 19, Submodular Functions, Optimization, & Applications to Machine Learning
Lecture 19, Submodular Functions, Optimization, & Applications to Machine Learning
Lecture 13, Submodular Functions, Optimization, & Applications to Machine Learning
Lecture 13, Submodular Functions, Optimization, & Applications to Machine Learning
Lecture 18, Submodular Functions, Optimization, & Applications to Machine Learning
Lecture 18, Submodular Functions, Optimization, & Applications to Machine Learning
236621 - Submodular Optimization - Tutorial 1
236621 - Submodular Optimization - Tutorial 1
Submodular Combinatorial Information Measures with Applications in Machine Learning
Submodular Combinatorial Information Measures with Applications in Machine Learning
Lecture 9, Submodular Functions, Optimization, & Applications to Machine Learning
Lecture 9, Submodular Functions, Optimization, & Applications to Machine Learning
Lecture 12, Submodular Functions, Optimization, & Applications to Machine Learning
Lecture 12, Submodular Functions, Optimization, & Applications to Machine Learning
EE596B Lecture 4, Submodular Functions, Optimization, and Applications to Machine Learning
EE596B Lecture 4, Submodular Functions, Optimization, and Applications to Machine Learning
EE596B Lecture 3, Submodular Functions, Optimization, and Applications to Machine Learning
EE596B Lecture 3, Submodular Functions, Optimization, and Applications to Machine Learning

Detailed Analysis

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Last Updated: October 1, 2026

Summary

How optimization for machine learning works, part 1 Guide
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Summary

Stefanie Jegelka, MIT simons.berkeley.edu/talks/andreas-krause-stefanie-jegelka-01-23-2017- Jan Vondrak from IBM Almaden presents as The 32nd International Conference on Algorithmic

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