research
∙
07/08/2022
Variational Inference of overparameterized Bayesian Neural Networks: a theoretical and empirical study
This paper studies the Variational Inference (VI) used for training Baye...
share
research
∙
05/20/2021
Kernel Stein Discrepancy Descent
Among dissimilarities between probability distributions, the Kernel Stei...
research
∙
01/05/2021
Minibatch optimal transport distances; analysis and applications
Optimal transport distances have become a classic tool to compare probab...
research
∙
06/21/2018
Sliced-Wasserstein Flows: Nonparametric Generative Modeling via Optimal Transport and Diffusions
By building up on the recent theory that established the connection betw...
research
∙
05/04/2018
Analysis of nonsmooth stochastic approximation: the differential inclusion approach
In this paper we address the convergence of stochastic approximation whe...
research
∙
02/26/2018
