Badr-Eddine Chérief-Abdellatif | DeepAI

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Arnaud Doucet
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Pierre Alquier
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Bastien Dussap
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∙ 06/07/2023

Label Shift Quantification with Robustness Guarantees via Distribution Feature Matching

Quantification learning deals with the task of estimating the target lab...

0 Bastien Dussap, et al. ∙

∙ 02/23/2023

Bayes meets Bernstein at the Meta Level: an Analysis of Fast Rates in Meta-Learning with PAC-Bayes

Bernstein's condition is a key assumption that guarantees fast rates in ...

0 Charles Riou, et al. ∙

∙ 02/23/2022

On PAC-Bayesian reconstruction guarantees for VAEs

Despite its wide use and empirical successes, the theoretical understand...

55 Badr-Eddine Chérief-Abdellatif, et al. ∙

∙ 10/01/2020

Estimation of copulas via Maximum Mean Discrepancy

This paper deals with robust inference for parametric copula models. Est...

0 Pierre Alquier, et al. ∙

∙ 12/12/2019

Finite sample properties of parametric MMD estimation: robustness to misspecification and dependence

Many works in statistics aim at designing a universal estimation procedu...

0 Badr-Eddine Chérief-Abdellatif, et al. ∙

∙ 09/29/2019

MMD-Bayes: Robust Bayesian Estimation via Maximum Mean Discrepancy

In some misspecified settings, the posterior distribution in Bayesian st...

0 Badr-Eddine Chérief-Abdellatif, et al. ∙

∙ 08/09/2019

Generalization Error Bounds for Deep Variational Inference

Variational inference is becoming more and more popular for approximatin...

5 Badr-Eddine Chérief-Abdellatif, et al. ∙

∙ 08/09/2019

Convergence Rates of Variational Inference in Sparse Deep Learning

Variational inference is becoming more and more popular for approximatin...

0 Badr-Eddine Chérief-Abdellatif, et al. ∙

∙ 04/08/2019

A Generalization Bound for Online Variational Inference

Bayesian inference provides an attractive online-learning framework to a...

0 Badr-Eddine Chérief-Abdellatif, et al. ∙

∙ 10/28/2018

Consistency of ELBO maximization for model selection

The Evidence Lower Bound (ELBO) is a quantity that plays a key role in v...

0 Badr-Eddine Chérief-Abdellatif, et al. ∙

∙ 05/14/2018

Consistency of Variational Bayes Inference for Estimation and Model Selection in Mixtures

Mixture models are widely used in Bayesian statistics and machine learni...

0 Badr-Eddine Chérief-Abdellatif, et al. ∙

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