Concept

Bayes estimator

Publications associées (440)

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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 estimator

Graph Chatbot

Chattez avec Graph Search

Learning curves for the multi-class teacher-student perceptron

Regularization for distributionally robust state estimation and prediction

Functional data analysis with rough sample paths?

When do Minimax-fair Learning and Empirical Risk Minimization Coincide?

Detecting whether a stochastic process is finitely expressed in a basis

Towards a multiscale point cloud structural similarity metric

ReLU Neural Network Galerkin BEM

Distributional Regression and Autoregression via Optimal Transport

A Statistical Framework to Investigate the Optimality of Signal-Reconstruction Methods

From Probability Graphical Models to Dynamic Networks — A Bayesian perspective on Smooth Best Estimate of Trajectory with applications in Geodetic Engineering

Detecting whether a stochastic process is finitely expressed in a basis

Towards a multiscale point cloud structural similarity metric

Functional data analysis with rough sample paths?

A Statistical Framework to Investigate the Optimality of Signal-Reconstruction Methods

From Probability Graphical Models to Dynamic Networks — A Bayesian perspective on Smooth Best Estimate of Trajectory with applications in Geodetic Engineering

Learning curves for the multi-class teacher-student perceptron

Regularization for distributionally robust state estimation and prediction

When do Minimax-fair Learning and Empirical Risk Minimization Coincide?

Distributional Regression and Autoregression via Optimal Transport

ReLU Neural Network Galerkin BEM