Szymon Majewski | DeepAI

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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...

0 Tom Huix, et al. ∙

∙ 05/20/2021

Kernel Stein Discrepancy Descent

Among dissimilarities between probability distributions, the Kernel Stei...

0 Anna Korba, et al. ∙

∙ 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...

0 Umut Şimşekli, et al. ∙

∙ 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

Analysis of Langevin Monte Carlo via convex optimization

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