YoVDO

Spectral Independence in High-Dimensional Expanders and Applications to the Hardcore Model

Offered By: IEEE via YouTube

Tags

IEEE FOCS: Foundations of Computer Science Courses Probabilistic Graphical Models Courses Theoretical Computer Science Courses High Dimensional Expanders Courses

Course Description

Overview

Explore a 26-minute IEEE conference talk on spectral independence in high-dimensional expanders and its applications to the hardcore model. Delve into the Glauber Dynamics and spectral independence concepts before examining their relevance to the hardcore model. Understand the complexity phase transition and main results presented by authors Nima Anari, Kuikui Liu, and Shayan Oveis Gharan. Follow the strategy outline for proving spectral independence in the hardcore model and consider future research directions in this field.

Syllabus

Intro
The Glauber Dynamics
Spectral Independence (cont.)
Application: The Hardcore Model
Why care about the Hardcore Model?
A Complexity Phase Transition
Main Result
Strategy Outline
Spectral Independence for Hardcore Model
Future Directions


Taught by

IEEE FOCS: Foundations of Computer Science

Tags

Related Courses

Automata Theory
Stanford 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