Publications associées à Nonideal sampling and regularized interpolation of noisy data

Chattez avec Graph Search

Posez n’importe quelle question sur les cours, conférences, exercices, recherches, actualités, etc. de l’EPFL ou essayez les exemples de questions ci-dessous.

AVERTISSEMENT : Le chatbot Graph n'est pas programmé pour fournir des réponses explicites ou catégoriques à vos questions. Il transforme plutôt vos questions en demandes API qui sont distribuées aux différents services informatiques officiellement administrés par l'EPFL. Son but est uniquement de collecter et de recommander des références pertinentes à des contenus que vous pouvez explorer pour vous aider à répondre à vos questions.

Estimation Error of the Constrained Lasso

Volkan Cevher, Yen-Huan Li, Ya-Ping Hsieh, Nissim Zerbib

This paper presents a non-asymptotic upper bound for the estimation error of the constrained lasso, under the high-dimensional (

n \ll p

) setting. In contrast to existing results, the error bound in this paper is sharp, is valid when the parameter to be e ...

2016

Nonideal sampling and regularized interpolation of noisy data

Graph Chatbot

Chattez avec Graph Search

Jump-Penalized Least Absolute Values Estimation of Scalar or Circle-Valued Signals

Robust Distributed Estimation by Networked Agents

Acoustic DoA Estimation by One Unsophisticated Sensor

Sparsity-Based Data Reconstruction Models for Biomedical Imaging

MMSE Denoising of Sparse and Non-Gaussian AR(1) Processes

Comparing molecules and solids across structural and alchemical space

Proximal Multitask Learning Over Networks With Sparsity-Inducing Coregularization

Importance Sampling Tree for Large-scale Empirical Expectation

Estimation Error of the Constrained Lasso

Designing Statistical Estimators That Balance Sample Size, Risk, and Computational Cost

Jump-Penalized Least Absolute Values Estimation of Scalar or Circle-Valued Signals

Designing Statistical Estimators That Balance Sample Size, Risk, and Computational Cost

Proximal Multitask Learning Over Networks With Sparsity-Inducing Coregularization

Comparing molecules and solids across structural and alchemical space

Robust Distributed Estimation by Networked Agents

Importance Sampling Tree for Large-scale Empirical Expectation

Acoustic DoA Estimation by One Unsophisticated Sensor

Sparsity-Based Data Reconstruction Models for Biomedical Imaging

MMSE Denoising of Sparse and Non-Gaussian AR(1) Processes

Estimation Error of the Constrained Lasso