Publication

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

Related publications (34)

Graph Chatbot

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.

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

Graph Chatbot

Chat with Graph Search

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

Distribution-on-distribution regression via optimal transport maps

Distributional Regression and Autoregression via Optimal Transport

Sparsest piecewise-linear regression of one-dimensional data

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

Fast screening of covariates in population models empowered by machine learning

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

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

Understanding the Reconstruction of Personal Networks Through Residential Trajectories

Understanding the reconstruction of personal networks through residential trajectories