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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

Régression locale

Graph Chatbot

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On distributional autoregression and iterated transportation

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

Distributional Regression and Autoregression via Optimal Transport

Climatic and Economic Background Determine the Disparities in Urbanites’ Expressed Happiness during the Summer Heat

Local Kernel Regression and Neural Network Approaches to the Conformational Landscapes of Oligopeptides

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

Minimax rate for optimal transport regression between distributions

Distribution-on-distribution regression via optimal transport maps

Metric learning for kernel ridge regression: assessment of molecular similarity

KPC: Learning-Based Model Predictive Control with Deterministic Guarantees

On distributional autoregression and iterated transportation

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

Distributional Regression and Autoregression via Optimal Transport

Climatic and Economic Background Determine the Disparities in Urbanites’ Expressed Happiness during the Summer Heat

Minimax rate for optimal transport regression between distributions

Distribution-on-distribution regression via optimal transport maps

Local Kernel Regression and Neural Network Approaches to the Conformational Landscapes of Oligopeptides

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

Metric learning for kernel ridge regression: assessment of molecular similarity

KPC: Learning-Based Model Predictive Control with Deterministic Guarantees