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A Polynomial Lower Bound on Adaptive Complexity of Submodular Maximization

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Overview

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Explore a conference talk examining the polynomial lower bound on adaptive complexity of submodular maximization. Delve into the adaptive complexity model, nonmonotone submodular functions, and one-half approximation algorithms. Investigate the hardness results presented and gain insights into this important area of theoretical computer science. Access accompanying slides and the full research paper for a deeper understanding of the concepts discussed.

Syllabus

Introduction
Background material
Adaptive complexity model
Nonmonotone
Onehalf approximation
Hardness
Questions

Taught by

Association for Computing Machinery (ACM)

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