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Resolving the Optimal Metric Distortion Conjecture

Offered By: IEEE via YouTube

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IEEE FOCS: Foundations of Computer Science Courses Algorithmic Game Theory Courses

Course Description

Overview

Explore a 21-minute IEEE conference talk on the Optimal Metric Distortion Conjecture in voting theory. Delve into the Downseam Proximity Model and discover the concept of lowest possible distortion. Examine the Domination Graph and understand the Ranking Matching Lemma. Follow the proof and unravel the Ranking Match Dilemma. Learn about Fractional Perfect Match and its implications. Presented by Vasilis Gkatzelis from Drexel University, along with Daniel Halpern and Nisarg Shah from the University of Toronto, this talk provides a comprehensive overview of resolving this important conjecture in the field of voting theory.

Syllabus

Introduction
Voting Theory
Downseam Proximity Model
Lowest Possible Distortion
Domination Graph
Ranking Matching Lemma
Proof
Ranking Match Dilemma
Fractional Perfect Match
Conclusion


Taught by

IEEE FOCS: Foundations of Computer Science

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