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Wednesday, February 1, 2017

**Abstract:** In 1960’s, Stein introduced a method to bound the distance between two probability distributions using a specific probability metric. For a large complex stochastic system, mean field theory is considered as a starting point to study its physical properties. In mean field theory we assume that each particle interacts with the rest of the system in a homogeneous 'average' way. In this talk, I will discuss how Stein’s method and mean field theory are used to study the energy minimization problem for spin-glass models in statistical mechanics. I will also discuss the idea of optimal Monte Carlo algorithms for solving energy minimization problem and related open problems.

Wednesday, March 1, 2017

Monday, March 27, 2017

Wednesday, April 19, 2017

Wednesday, September 6, 2017

Wednesday, October 4, 2017

Monday, November 6, 2017

Wednesday, November 29, 2017