CS Summer School: Limited Space Left!
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.
This program 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.
Interested and qualified students should contact email@example.com as soon as possible. Please note that there is limited capacity.