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Consistency of $\ell_1$-Regularized Maximum-Likelihood for Compressive Poisson 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

Consistency of $\ell_1$-Regularized Maximum-Likelihood for Compressive Poisson Regression

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Chat with Graph Search

Seebeck Coefficient of Ionic Conductors from Bayesian Regression Analysis

Distributional Regression and Autoregression via Optimal Transport

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

Distribution-on-distribution regression via optimal transport maps

Minimax rate for optimal transport regression between distributions

Mechanistic modelling of solar disinfection (SODIS) kinetics of Escherichia coli, enhanced with H2O2 - part 1: The dark side of peroxide

Multi-ion-sensing emulator and multivariate calibration optimization by machine learning models

Fast screening of covariates in population models empowered by machine learning

Linear regression analysis of regional mean speed of Athens city network using drone data: A multi-modal approach

Sparsest piecewise-linear regression of one-dimensional data

Distributional Regression and Autoregression via Optimal Transport

Minimax rate for optimal transport regression between distributions

Seebeck Coefficient of Ionic Conductors from Bayesian Regression Analysis

Multi-ion-sensing emulator and multivariate calibration optimization by machine learning models

Linear regression analysis of regional mean speed of Athens city network using drone data: A multi-modal approach

Mechanistic modelling of solar disinfection (SODIS) kinetics of Escherichia coli, enhanced with H2O2 - part 1: The dark side of peroxide

Distribution-on-distribution regression via optimal transport maps

Fast screening of covariates in population models empowered by machine learning

Sparsest piecewise-linear regression of one-dimensional data

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