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A Learning Algorithm for Piecewise Linear Regression

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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

A Learning Algorithm for Piecewise Linear Regression

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Chat with 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

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

Distributional Regression and Autoregression via Optimal Transport

Gaussian Process Regression for Materials and Molecules

Learning Finance with Games: An Empirical Study

Hands-on reservoir computing: a tutorial for practical implementation

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

Distribution-on-distribution regression via optimal transport maps

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

Functional lagged regression with sparse noisy observations