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Submodularity: Theory and Applications I 1:04:01
📺 Simons Institute for the Theory of Computing 👁️ 18,252 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

Verified Submodular Maximization Through Barrier Functions Creator Profile
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Core Information

Verified Streaming Submodular Maximization under a k-Set System Constraint (ICML 2020) Dev Index
Explore the key sources for Submodular Maximization Through Barrier Functions.

Developments

Verified 10.1 Submodular Functions, Part I System Hub
Stay updated on Submodular Maximization Through Barrier Functions's newest achievements.

Xueyu Shi - Sequence Independent Lifting for Submodular Maximization
Xueyu Shi - Sequence Independent Lifting for Submodular Maximization
Regularized Submodular Maximization at Scale
Regularized Submodular Maximization at Scale
5-2 Submodular Maximization
5-2 Submodular Maximization
Continuous Methods for Submodular Maximization
Continuous Methods for Submodular Maximization
Submodular Maximization via Taylor Series Approximation (SDM21)
Submodular Maximization via Taylor Series Approximation (SDM21)
Submodularity: Theory and Applications I
Submodularity: Theory and Applications I
Beyond Submodular Maximization via One-Sided Smoothness and Meta-Submodularity
Beyond Submodular Maximization via One-Sided Smoothness and Meta-Submodularity
Seffi Naor: Recent Results on Maximizing Submodular Functions
Seffi Naor: Recent Results on Maximizing Submodular Functions
Alina Ene: The Power of Randomization Distributed Submodular Maximization on Massive Datasets
Alina Ene: The Power of Randomization Distributed Submodular Maximization on Massive Datasets
A Nearly-linear Time Algorithm for Submodular Maximization with a Knapsack Constraint
A Nearly-linear Time Algorithm for Submodular Maximization with a Knapsack Constraint
EE596B Lecture 4, Submodular Functions, Optimization, and Applications to Machine Learning
EE596B Lecture 4, Submodular Functions, Optimization, and Applications to Machine Learning

Detailed Analysis

Data is compiled from public records and verified media reports.

Last Updated: August 16, 2026

Conclusion

Kent Quanrud: Streaming Algorithms for Submodular Function Maximization Creator Profile
For 2026, Submodular Maximization Through Barrier Functions remains one of the most talked-about creator profiles. Check back for the newest reports.

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