A Polynomial Lower Bound on Adaptive Complexity of Submodular Maximization
Offered By: Association for Computing Machinery (ACM) via YouTube
Course Description
Overview
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)
Related Courses
Automata TheoryStanford University via edX Intro to Theoretical Computer Science
Udacity Computing: Art, Magic, Science
ETH Zurich via edX 理论计算机科学基础 | Introduction to Theoretical Computer Science
Peking University via edX Quantitative Formal Modeling and Worst-Case Performance Analysis
EIT Digital via Coursera