Publications associées à Bayesian Estimation for Continuous-Time Sparse Stochastic Processes

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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

Bayesian Estimation for Continuous-Time Sparse Stochastic Processes

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Procrustes Metrics on Covariance Operators and Optimal Transportation of Gaussian Processes

Periodic Splines and Gaussian Processes for the Resolution of Linear Inverse Problems

Optimization Of Compound Regularization Parameters Based On Stein'S Unbiased Risk Estimate

Robust Distributed Estimation by Networked Agents

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

Solving Stochastic AC Power Flow via Polynomial Chaos Expansion

Stream temperature modeling in mountainous environments

Proximal Multitask Learning Over Networks With Sparsity-Inducing Coregularization

Estimation Error of the Constrained Lasso

Sparsity-Driven Statistical Inference for Inverse Problems

Proximal Multitask Learning Over Networks With Sparsity-Inducing Coregularization

Procrustes Metrics on Covariance Operators and Optimal Transportation of Gaussian Processes

Periodic Splines and Gaussian Processes for the Resolution of Linear Inverse Problems

Optimization Of Compound Regularization Parameters Based On Stein'S Unbiased Risk Estimate

Robust Distributed Estimation by Networked Agents

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

Solving Stochastic AC Power Flow via Polynomial Chaos Expansion

Stream temperature modeling in mountainous environments

Estimation Error of the Constrained Lasso

Sparsity-Driven Statistical Inference for Inverse Problems