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A Global-Local Approach For Detecting Hotspots In Multiple-Response 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

A Global-Local Approach For Detecting Hotspots In Multiple-Response Regression

Graph Chatbot

Chattez avec Graph Search

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

Fast screening of covariates in population models empowered by machine learning

Sparsest piecewise-linear regression of one-dimensional data

Swimming Phase-Based Performance Evaluation Using a Single IMU in Main Swimming Techniques

Privacy-preserving semi-parallel logistic regression training with fully homomorphic encryption

The association of basic and challenging motor capacity with mobility performance and falls in young seniors

A non-intrusive multifidelity method for the reduced order modeling of nonlinear problems

Distributional Regression and Autoregression via Optimal Transport

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

Minimax rate for optimal transport regression between distributions

Swimming Phase-Based Performance Evaluation Using a Single IMU in Main Swimming Techniques

Fast screening of covariates in population models empowered by machine learning

Distribution-on-distribution regression via optimal transport maps

Sparsest piecewise-linear regression of one-dimensional data

A non-intrusive multifidelity method for the reduced order modeling of nonlinear problems

The association of basic and challenging motor capacity with mobility performance and falls in young seniors

Privacy-preserving semi-parallel logistic regression training with fully homomorphic encryption