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Alessio Spantini

2 accepted papers

2020

Greedy inference with structure-exploiting lazy maps

NeurIPS 2020oral

We propose a framework for solving high-dimensional Bayesian inference problems using \emph{structure-exploiting} low-dimensional transport maps or flows. These maps are confined to a low-dimensional subspace (hence, lazy), and the subspace is identified by minimizing an upper bound on the Kullback-…

2018

A Stein variational Newton method

NeurIPS 2018poster

Stein variational gradient descent (SVGD) was recently proposed as a general purpose nonparametric variational inference algorithm: it minimizes the Kullback–Leibler divergence between the target distribution and its approximation by implementing a form of functional gradient descent on a reproducin…