Talks
Spring 2015

Strong Data Processing Inequalities: Applications to MCMC and Graphical Models

Wednesday, March 18th, 2015 1:55 pm2:20 pm

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Strong (or quantitative) data processing inequalities provide sharp estimates of the rate at which a noisy channel “destroys” information. In this talk, I will present some recent results on strong data processing inequalities in discrete settings, with a focus on their use for quantifying the mixing behavior of Markov Chain Monte Carlo (MCMC) algorithms and the decay of correlations in graphical models.