Search Results for author: Sam Patterson

Found 1 papers, 0 papers with code

Stochastic Gradient Riemannian Langevin Dynamics on the Probability Simplex

no code implementations NeurIPS 2013 Sam Patterson, Yee Whye Teh

In this paper we investigate the use of Langevin Monte Carlo methods on the probability simplex and propose a new method, Stochastic gradient Riemannian Langevin dynamics, which is simple to implement and can be applied online.

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