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Predicting Individual Scores From Resting State fMRI Using Partial Least Squares 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

Predicting Individual Scores From Resting State fMRI Using Partial Least Squares Regression

Graph Chatbot

Chattez avec Graph Search

Machine learning models for prediction of electrochemical properties in supercapacitor electrodes using MXene and graphene nanoplatelets

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

Distributional Regression and Autoregression via Optimal Transport

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

Distribution-on-distribution regression via optimal transport maps

Accelerated SGD for Non-Strongly-Convex Least Squares

Associations between urinary biomarkers of oxidative stress and biomarkers of tobacco smoke exposure in smokers

Are green bonds priced lower than their conventional peers?

Improving sample and feature selection with principal covariates regression

Sparsest piecewise-linear regression of one-dimensional data

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

Distribution-on-distribution regression via optimal transport maps

Sparsest piecewise-linear regression of one-dimensional data

Distributional Regression and Autoregression via Optimal Transport

Accelerated SGD for Non-Strongly-Convex Least Squares

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

Are green bonds priced lower than their conventional peers?

Associations between urinary biomarkers of oxidative stress and biomarkers of tobacco smoke exposure in smokers

Improving sample and feature selection with principal covariates regression

Machine learning models for prediction of electrochemical properties in supercapacitor electrodes using MXene and graphene nanoplatelets