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Sparsest piecewise-linear regression of one-dimensional data

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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

Sparsest piecewise-linear regression of one-dimensional data

Graph Chatbot

Chattez avec Graph Search

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Minimax rate for optimal transport regression between distributions

Acute TNF alpha levels predict cognitive impairment 6-9 months after COVID-19 infection

Adaptive hot water production based on Supervised Learning

(S)GD over Diagonal Linear Networks: Implicit Regularisation, Large Stepsizes and Edge of Stability

Fast screening of covariates in population models empowered by machine learning

Improving sample and feature selection with principal covariates regression