Publications associées à Nonideal sampling and regularized interpolation of noisy data

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Sparsistency of $\ell_1$-Regularized $M$-Estimators

Volkan Cevher, Jonathan Mark Scarlett, Yen-Huan Li

We consider the model selection consistency or sparsistency of a broad set of

\ell_1

-regularized

M

-estimators for linear and non-linear statistical models in a unified fashion. For this purpose, we propose the local structured smoothness condition (LSS ...

2015

Nonideal sampling and regularized interpolation of noisy data

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Sparsity-Driven Statistical Inference for Inverse Problems

Convergence estimates in probability and in expectation for discrete least squares with noisy evaluations at random points

MATHICSE Technical Report : Convergence estimates in probability and in expectation for discrete least squares with noisy evaluations at random points

A New Estimation Algorithm for the GNSS-R Interference Pattern Technique: The Segmented Maximum-Likelihood

Statistical Optimality of Hermite Splines

Sparsistency of $\ell_1$-Regularized $M$-Estimators

Multitask diffusion LMS with sparsity-based regularization

Total Variation Regularization of Shape Signals

A Modulated Closed Form solution for Quantitative Susceptibility Mapping - A thorough evaluation and comparison to iterative methods based on edge prior knowledge

Time–Data Tradeoffs by Aggressive Smoothing

Sparsity-Driven Statistical Inference for Inverse Problems

Convergence estimates in probability and in expectation for discrete least squares with noisy evaluations at random points

A New Estimation Algorithm for the GNSS-R Interference Pattern Technique: The Segmented Maximum-Likelihood

MATHICSE Technical Report : Convergence estimates in probability and in expectation for discrete least squares with noisy evaluations at random points

Multitask diffusion LMS with sparsity-based regularization

Time–Data Tradeoffs by Aggressive Smoothing

A Modulated Closed Form solution for Quantitative Susceptibility Mapping - A thorough evaluation and comparison to iterative methods based on edge prior knowledge

Statistical Optimality of Hermite Splines

Sparsistency of $\ell_1$-Regularized $M$-Estimators

Total Variation Regularization of Shape Signals