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Submodularity: Theory and Applications I 1:04:01
📺 Simons Institute for the Theory of Computing 👁️ 18,255 views

Submodular Maximization Through Barrier Functions Information Guide

  1. Overview on Submodular Maximization Through Barrier Functions
  2. Core Information
  3. Developments
  4. Detailed Analysis
  5. Conclusion

Overview on Submodular Maximization Through Barrier Functions

Information Submodular Maximization Through Barrier Functions Guide
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Core Information

Information Xueyu Shi - Sequence Independent Lifting for Submodular Maximization Guide
Explore the key sources for Submodular Maximization Through Barrier Functions.

Developments

Details Kent Quanrud: Streaming Algorithms for Submodular Function Maximization Guide
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[FORC 2026] Fair Multi-agent Persuasion with Submodular Constraints
[FORC 2026] Fair Multi-agent Persuasion with Submodular Constraints
Submodular Maximization via Taylor Series Approximation (SDM21)
Submodular Maximization via Taylor Series Approximation (SDM21)
Regularized Submodular Maximization at Scale
Regularized Submodular Maximization at Scale
Beyond Submodular Maximization via One-Sided Smoothness and Meta-Submodularity
Beyond Submodular Maximization via One-Sided Smoothness and Meta-Submodularity
Submodularity: Theory and Applications I
Submodularity: Theory and Applications I
5-2 Submodular Maximization
5-2 Submodular Maximization
Continuous Methods for Submodular Maximization
Continuous Methods for Submodular Maximization
June 16,Fast and private submodular and k-submodular functions maximization with matroid constraints
June 16,Fast and private submodular and k-submodular functions maximization with matroid constraints
Interactive Learning of Mixtures of Submodular Functions
Interactive Learning of Mixtures of Submodular Functions
A2.D – Optimal Streaming Algorithms for Submodular Maximization with Cardinality Constraints
A2.D – Optimal Streaming Algorithms for Submodular Maximization with Cardinality Constraints
Alina Ene: The Power of Randomization Distributed Submodular Maximization on Massive Datasets
Alina Ene: The Power of Randomization Distributed Submodular Maximization on Massive Datasets

Detailed Analysis

Data is compiled from public records and verified media reports.

Last Updated: August 21, 2026

Conclusion

Details 10.1 Submodular Functions, Part I Update
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