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A Geometric View on Constrained M-Estimators

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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

A Geometric View on Constrained M-Estimators

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Chat with Graph Search

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

Distributional Regression and Autoregression via Optimal Transport

Estimation of Self-Exciting Point Processes from Time-Censored Data

Genomic Diversity of Torque Teno Virus in Blood Samples from Febrile Paediatric Outpatients in Tanzania: A Descriptive Cohort Study

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Gaussian Process Regression for Materials and Molecules

Improving sample and feature selection with principal covariates regression

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

Genomic Diversity of Torque Teno Virus in Blood Samples from Febrile Paediatric Outpatients in Tanzania: A Descriptive Cohort Study

Distributional Regression and Autoregression via Optimal Transport

Estimation of Self-Exciting Point Processes from Time-Censored Data

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

The Completion Of Covariance Kernels

Impact of adherence to a lifestyle-integrated programme on physical function and behavioural complexity in young older adults at risk of functional decline: a multicentre RCT secondary analysis

Deep Learning with Convolutional Neural Network for Proportional Control of Finger Movements from surface EMG Recordings

Improving sample and feature selection with principal covariates regression

Gaussian Process Regression for Materials and Molecules