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Sélection de modèle avec faible variabilité: régression polynomiale et régression multiple

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Distributional Regression and Autoregression via Optimal Transport

Laya Ghodrati

We present a framework for performing regression when both covariate and response are probability distributions on a compact and convex subset of

\R^d

. Our regression model is based on the theory of optimal transport and links the conditional Fr'echet m ...

EPFL2023

Sélection de modèle avec faible variabilité: régression polynomiale et régression multiple

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Machine learning models for prediction of electrochemical properties in supercapacitor electrodes using MXene and graphene nanoplatelets

Distributional Regression and Autoregression via Optimal Transport

Bayes-optimal Learning of Deep Random Networks of Extensive-width

Distribution-on-distribution regression via optimal transport maps

Fast screening of covariates in population models empowered by machine learning

Sparsest piecewise-linear regression of one-dimensional data

The association of basic and challenging motor capacity with mobility performance and falls in young seniors

A Global-Local Approach For Detecting Hotspots In Multiple-Response Regression

Understanding the reconstruction of personal networks through residential trajectories

Understanding the Reconstruction of Personal Networks Through Residential Trajectories

Machine learning models for prediction of electrochemical properties in supercapacitor electrodes using MXene and graphene nanoplatelets

A Global-Local Approach For Detecting Hotspots In Multiple-Response Regression

Distributional Regression and Autoregression via Optimal Transport

Distribution-on-distribution regression via optimal transport maps

The association of basic and challenging motor capacity with mobility performance and falls in young seniors

Bayes-optimal Learning of Deep Random Networks of Extensive-width

Understanding the Reconstruction of Personal Networks Through Residential Trajectories

Sparsest piecewise-linear regression of one-dimensional data

Fast screening of covariates in population models empowered by machine learning

Understanding the reconstruction of personal networks through residential trajectories