Publication

A Learning Algorithm for Piecewise Linear Regression

Publications associées (39)

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

A Learning Algorithm for Piecewise Linear Regression

Graph Chatbot

Chattez avec Graph Search

Random matrix methods for high-dimensional machine learning models

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

Distributional Regression and Autoregression via Optimal Transport

Distribution-on-distribution regression via optimal transport maps

Hands-on reservoir computing: a tutorial for practical implementation

Deep Learning with Convolutional Neural Network for Proportional Control of Finger Movements from surface EMG Recordings

Gaussian Process Regression for Materials and Molecules

Learning Finance with Games: An Empirical Study

Optimal Convergence for Distributed Learning with Stochastic Gradient Methods and Spectral Algorithms

Functional lagged regression with sparse noisy observations

Random matrix methods for high-dimensional machine learning models

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

Hands-on reservoir computing: a tutorial for practical implementation

Functional lagged regression with sparse noisy observations

Optimal Convergence for Distributed Learning with Stochastic Gradient Methods and Spectral Algorithms

Deep Learning with Convolutional Neural Network for Proportional Control of Finger Movements from surface EMG Recordings

Gaussian Process Regression for Materials and Molecules

Learning Finance with Games: An Empirical Study