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Transient analysis of adaptive filters with error nonlinearities

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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

Transient analysis of adaptive filters with error nonlinearities

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Chat with 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

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

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

Gaussian Process Regression for Materials and Molecules

Online Robust Regression via SGD on the l1 loss

Automatic L2 Regularization for Multiple Generalized Additive Models

Methodology And Convergence Rates For Functional Time Series Regression

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

Gaussian Process Regression for Materials and Molecules

Automatic L2 Regularization for Multiple Generalized Additive Models

Methodology And Convergence Rates For Functional Time Series Regression

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

Distributional Regression and Autoregression via Optimal Transport

Distribution-on-distribution regression via optimal transport maps

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

Minimax rate for optimal transport regression between distributions

Online Robust Regression via SGD on the l1 loss