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

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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

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

Graph Chatbot

Chattez avec Graph Search

Distributional Regression and Autoregression via Optimal Transport

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A Neural-Network-Based Convex Regularizer for Inverse Problems

Distributional Regression and Autoregression via Optimal Transport

Stable parameterization of continuous and piecewise-linear functions

End-to-end kernel learning via generative random Fourier features

Semi-Supervised Deep Learning Representations in Earth Observation Based Forest Management

The statistical complexity of early-stopped mirror descent

DeepBreath-automated detection of respiratory pathology from lung auscultation in 572 pediatric outpatients across 5 countries

Uncertainty quantification in machine learning for engineering design and health prognostics: A tutorial

Near-Minimax Optimal Estimation With Shallow ReLU Neural Networks

Learning curves for the multi-class teacher-student perceptron