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Smoothing technique for nonsmooth composite minimization with linear operator

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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

Smoothing technique for nonsmooth composite minimization with linear operator

Graph Chatbot

Chat with Graph Search

Scalable constrained optimization

Model reduction of coupled systems based on non-intrusive approximations of the boundary response maps

On distributional autoregression and iterated transportation

BENIGN LANDSCAPES OF LOW-DIMENSIONAL RELAXATIONS FOR ORTHOGONAL SYNCHRONIZATION ON GENERAL GRAPHS

Data-driven LPV Control for Micro-disturbance Rejection in a Hybrid Isolation Platform

A graph convolutional autoencoder approach to model order reduction for parametrized PDEs

Stability: a search for structure

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

Scalable constrained optimization

Model reduction of coupled systems based on non-intrusive approximations of the boundary response maps

On distributional autoregression and iterated transportation

BENIGN LANDSCAPES OF LOW-DIMENSIONAL RELAXATIONS FOR ORTHOGONAL SYNCHRONIZATION ON GENERAL GRAPHS

Data-driven LPV Control for Micro-disturbance Rejection in a Hybrid Isolation Platform

A graph convolutional autoencoder approach to model order reduction for parametrized PDEs

Stability: a search for structure

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