Submodular Optimization Information Guide

  1. About of Submodular Optimization
  2. Key Details
  3. Recent Updates
  4. Detailed Analysis
  5. Conclusion

About of Submodular Optimization

Details Optimal Distributed Submodular Optimization via Sketching Guide
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Key Details

Details Submodularity: Theory and Applications I News
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Recent Updates

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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
Submodular Combinatorial Information Measures with Applications in Machine Learning
Submodular Combinatorial Information Measures with Applications in Machine Learning
Submodularity: Theory and Applications II
Submodularity: Theory and Applications II
SysML 19: Lei Qi, Discrete Adversarial Attacks and Submodular Optimization
SysML 19: Lei Qi, Discrete Adversarial Attacks and Submodular Optimization
Submodular Optimization for Voltage Control in Power Systems
Submodular Optimization for Voltage Control in Power Systems
Submodularity and Optimization -- Jeff Bilmes (Part 1)
Submodularity and Optimization -- Jeff Bilmes (Part 1)
Jan Vondrak - Submodular Functions and Their Applications
Jan Vondrak - Submodular Functions and Their Applications
5-2 Submodular Maximization
5-2 Submodular Maximization
Submodular Optimization and Machine Learning - Part 1
Submodular Optimization and Machine Learning - Part 1
Submodular Optimization 5
Submodular Optimization 5
CS769 - Lec 25, 7-4-2022 OptML: Submodular Optimization in general, Algorithms for Maximization
CS769 - Lec 25, 7-4-2022 OptML: Submodular Optimization in general, Algorithms for Maximization

Detailed Analysis

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Last Updated: October 22, 2026

Conclusion

Details Introduction to Submodular Functions Update
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Disclaimer: Disclaimer: All information is compiled from publicly available data, media reports, and analysis. Actual details may vary.

Summary

Authors: Mohammadhossein Bateni (Google); Hossein Esfandiari (Harvard University); Vahab Mirrokni (Google) More on ... Stefanie Jegelka, MIT simons.berkeley.edu/talks/andreas-krause-stefanie-jegelka-01-23-2017-1 Foundations of Machine ... Niv Buchbinder, Tel Aviv University simons.berkeley.edu/talks/niv-buchbinder-09-13-17 Discrete Speaker: Fabien Mathieu (Swapcard). Webpage: lincs.fr/events/introduction-to- The 32nd International Conference on Algorithmic Learning Theory (ALT 2021) Title: Andreas Krause, ETH Zürich simons.berkeley.edu/talks/andreas-krause-stefanie-jegelka-01-23-2017-2 Foundations of ... Hi I'm Qi late from UT Austin and I'm gonna talk about discrete adversary attacks and some modular Zhipeng Liu at the Clean Energy Insitute at University of Washington demonstrates an algorithm using Matlab and Matpower that ... Jan Vondrak from IBM Almaden presents as part of the UBC Department of Computer Science's Distinguished Lecture Series, ... Many problems in machine learning that involve discrete structures or subset selection may be phrased in the language of ... This videos from ICSI660 class in 12/03/2018. The professor is Feng Chen. He comes from University at Albany, State University ...

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