Recent Progress On Submodular Function Recent Progress On Submodular Function

Recent Progress On Submodular Function Recent Progress On Submodular Function Information Guide

1. About to Recent Progress On Submodular Function Recent Progress On Submodular Function
2. Core Information
3. History
4. Deep Dive
5. Final Thoughts

About to Recent Progress On Submodular Function Recent Progress On Submodular Function

‏Hello my name is f and i'm going to talk today about constrain maximization via 02 - Bommireddi - Testing submodularity and other properties of valuation functions The Fujishige-Wolfe heuristic is empirically one of the fastest algorithms for Machine Learning Work Shop - Session 2 - Jeff Bilmes - 'Why Vahab Mirrokni, Google Learning, Algorithm Design and Beyond ... Owing to several applications in large scale learning and vision problems, fast

Kent Quanrud (Purdue University) Optimization and ... Models, Inference and Algorithms Broad Institute of MIT and Harvard September 26, 2018 MIA Meeting: ... Many problems in machine learning that involve discrete structures or subset selection may be phrased in the language of ... Niv Buchbinder, Tel Aviv University Discrete Optimization via ... We consider the problem of maximizing a nonnegative

Core Information

History

STOC24 11 A 2 Constrained Submodular Maximization via New Bounds for DR Submodular Functions

Stefanie Jegelka: An introduction to Submodularity, Part 1

Submodularity: Theory and Applications I

Recent Developments in Combinatorial Optimization

02 - Bommireddi - Testing submodularity and other properties of valuation functions

Deeparnab Chakrabarty: Provable Submodular Function Minimization via Fujishige Wolfe Algorithm

Machine Learning Work Shop - Why Submodularity is Important to Machine Learning

Sketching and Randomization for Distributed Submodular and Coverage Optimization

Provable Submodular Minimization via Wolfe’s Algorithm

Quotient Sparsification for Submodular Functions

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

Submodular Optimization and Machine Learning - Part 1

Deep Dive

Data is compiled from public records and verified media reports.

Last Updated: June 14, 2026

Final Thoughts

Disclaimer: Disclaimer: Details estimates are based on publicly available data, media reports, and financial analysis. Actual numbers may vary.