Set on the beautiful oceanside UC Santa Barbara campus, this summer school will be an in-depth tutorial on exciting
and powerful new tools for establishing optimal mixing time bounds for
Markov Chain Monte Carlo (MCMC) algorithms.
The focus of the school will be on understanding the spectral independence
technique which utilizes ideas from high-dimensional expanders, and
related approaches for establishing entropy decay.
Notable examples of recent work that will be explained at the summer school
include generating random bases of a matroid and sampling from spin systems
in the correlation decay region.
The summer school is designed for
graduate students with some basic knowledge of Markov chains who are
interested in a comprehensive understanding of these techniques and in
exploring future directions.
