Publications associées à A Regularized Robust Design Criterion for Uncertain Data

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Fast Proximal algorithms for Self-concordant function minimization with application to sparse graph selection

Volkan Cevher, Anastasios Kyrillidis

The convex

\ell_1

-regularized

\log\det

divergence criterion has been shown to produce theoretically consistent graph learning. However, this objective function is challenging since the

\ell_1

-regularization is nonsmooth, the

\log\det

objective is n ...

2013

A Regularized Robust Design Criterion for Uncertain Data

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Chattez avec Graph Search

Geometric Variational Models for Inverse Problems in Imaging

Continuous Localization Using Sparsity Constraints for High-Density Super-Resolution Microscopy

Fast Proximal algorithms for Self-concordant function minimization with application to sparse graph selection

Wavelet-Based Reconstruction for Magnetic Resonance Imaging

Reduced Models for Optimal Control, Shape Optimization and Inverse Problems in Haemodynamics

Strongly feasible stochastic model predictive control

Sparsity-Driven Reconstruction for FDOT With Anatomical Priors

Multicore thermal management using approximate explicit Model Predictive Control

Multicore thermal management using approximate explicit model predictive control

FASTER CADZOW DENOISING BASED ON PARTIAL EIGENVALUE DECOMPOSITION

Geometric Variational Models for Inverse Problems in Imaging

Multicore thermal management using approximate explicit model predictive control

Multicore thermal management using approximate explicit Model Predictive Control

Sparsity-Driven Reconstruction for FDOT With Anatomical Priors

Strongly feasible stochastic model predictive control

Fast Proximal algorithms for Self-concordant function minimization with application to sparse graph selection

Continuous Localization Using Sparsity Constraints for High-Density Super-Resolution Microscopy

Reduced Models for Optimal Control, Shape Optimization and Inverse Problems in Haemodynamics

FASTER CADZOW DENOISING BASED ON PARTIAL EIGENVALUE DECOMPOSITION

Wavelet-Based Reconstruction for Magnetic Resonance Imaging