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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

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Toxin:antitoxin ratio sensing autoregulation of the Vibrio cholerae parDE2 module

Real-Time Multi-Ion-Monitoring Front-End With Interference Compensation by Multi-Output Support Vector Regressor

(S)GD over Diagonal Linear Networks: Implicit Regularisation, Large Stepsizes and Edge of Stability

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

Accelerated SGD for Non-Strongly-Convex Least Squares

Yapa: Accelerated Proximal Algorithm For Convex Composite Problems

Sparsest piecewise-linear regression of one-dimensional data