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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

Graph Chatbot

Chattez avec Graph Search

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Functional lagged regression with sparse noisy observations

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Distribution-on-distribution regression via optimal transport maps

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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

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

Learning Finance with Games: An Empirical Study