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Publications associées (11)

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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

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On distributional autoregression and iterated transportation

Distributional Regression and Autoregression via Optimal Transport

Typicality results for weak solutions of the incompressible Navier-Stokes equations

Distribution-on-distribution regression via optimal transport maps

Functional estimation of anisotropic covariance and autocovariance operators on the sphere

Hill chart modelling using the Hermite polynomial chaos expansion for the performance prediction of pumps running as turbines

Statistical Unfolding Of Elementary Particle Spectra: Empirical Bayes Estimation And Bias-Corrected Uncertainty Quantification

Covering Cubes and the Closest Vector Problem

Interval propagation and search on directed acyclic graphs for numerical constraint solving

Analysis and numerical simulation of free surface flows

Distributional Regression and Autoregression via Optimal Transport

Covering Cubes and the Closest Vector Problem

Analysis and numerical simulation of free surface flows

Interval propagation and search on directed acyclic graphs for numerical constraint solving

On distributional autoregression and iterated transportation

Functional estimation of anisotropic covariance and autocovariance operators on the sphere

Statistical Unfolding Of Elementary Particle Spectra: Empirical Bayes Estimation And Bias-Corrected Uncertainty Quantification

Hill chart modelling using the Hermite polynomial chaos expansion for the performance prediction of pumps running as turbines

Distribution-on-distribution regression via optimal transport maps

Typicality results for weak solutions of the incompressible Navier-Stokes equations