Richard Guo
(aka Fangjian Guo / 郭方健)
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Research Interests
Statistical/Bayesian inference, the associated optimization techniques, and their connection to sampling
Model selection and evaluation
Design and analysis of learning algorithms: MCMC, stochastic/approximate algorithms, relaxations
Stochastic processes and nonparametrics: modeling for social interactions (networks), human behaviors and decisions
Connecting ML and statistical mechanics: Monte Carlo, belief propagation, phase transition, etc.