Concept

Segmented 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

Segmented regression

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Model reduction of coupled systems based on non-intrusive approximations of the boundary response maps

Intraday solar irradiance forecasting using public cameras

On distributional autoregression and iterated transportation

Random matrix methods for high-dimensional machine learning models

Iterative removal of sources to model the turbulent electromotive force

Distributional Regression and Autoregression via Optimal Transport

Reliable uncertainties: Error correlation, rotated error bars, and linear regressions in three-isotope plots and beyond

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

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

Regressive Tomography and Direct Regressive Reconstruction: A Research Note

Random matrix methods for high-dimensional machine learning models

Intraday solar irradiance forecasting using public cameras

On distributional autoregression and iterated transportation

Model reduction of coupled systems based on non-intrusive approximations of the boundary response maps

Distributional Regression and Autoregression via Optimal Transport

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

Regressive Tomography and Direct Regressive Reconstruction: A Research Note

Iterative removal of sources to model the turbulent electromotive force

Reliable uncertainties: Error correlation, rotated error bars, and linear regressions in three-isotope plots and beyond

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