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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...
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05/20/2021
Kernel Stein Discrepancy Descent
Among dissimilarities between probability distributions, the Kernel Stei...
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01/05/2021
Minibatch optimal transport distances; analysis and applications
Optimal transport distances have become a classic tool to compare probab...
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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...
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05/04/2018
Analysis of nonsmooth stochastic approximation: the differential inclusion approach
In this paper we address the convergence of stochastic approximation whe...
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02/26/2018