Concept

Régression non paramétrique

Publications associées (128)

Graph Chatbot

Chattez avec Graph Search

Posez n’importe quelle question sur les cours, conférences, exercices, recherches, actualités, etc. de l’EPFL ou essayez les exemples de questions ci-dessous.

AVERTISSEMENT : Le chatbot Graph n'est pas programmé pour fournir des réponses explicites ou catégoriques à vos questions. Il transforme plutôt vos questions en demandes API qui sont distribuées aux différents services informatiques officiellement administrés par l'EPFL. Son but est uniquement de collecter et de recommander des références pertinentes à des contenus que vous pouvez explorer pour vous aider à répondre à vos questions.

Connectez-vous pour utiliser Chat avec Graph Search

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

Régression non paramétrique

Graph Chatbot

Chattez avec Graph Search

On distributional autoregression and iterated transportation

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

Distributional Regression and Autoregression via Optimal Transport

Roles of Clinical Features and Chest CT in Predicting the Outcomes of Hospitalized Patients with COVID-19 Developing AKI

Scaling behavior of bedload transport: what if Bagnold was right?

Local Kernel Regression and Neural Network Approaches to the Conformational Landscapes of Oligopeptides

Minimax rate for optimal transport regression between distributions

Metric learning for kernel ridge regression: assessment of molecular similarity

The very knotty lenser: Exploring the role of regularization in source and potential reconstructions using Gaussian process regression

Mechanistic modelling of solar disinfection (SODIS) kinetics of Escherichia coli, enhanced with H2O2 - part 1: The dark side of peroxide

On distributional autoregression and iterated transportation

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

Roles of Clinical Features and Chest CT in Predicting the Outcomes of Hospitalized Patients with COVID-19 Developing AKI

Minimax rate for optimal transport regression between distributions

Local Kernel Regression and Neural Network Approaches to the Conformational Landscapes of Oligopeptides

Distributional Regression and Autoregression via Optimal Transport

Scaling behavior of bedload transport: what if Bagnold was right?

Mechanistic modelling of solar disinfection (SODIS) kinetics of Escherichia coli, enhanced with H2O2 - part 1: The dark side of peroxide

Metric learning for kernel ridge regression: assessment of molecular similarity

The very knotty lenser: Exploring the role of regularization in source and potential reconstructions using Gaussian process regression