Numerical Optimization, 1999. ,
DOI : 10.1007/b98874
Proximal splitting methods in signal processing, " in Fixed-Point Algorithms for Inverse Problems in Science and Engineering, pp.185-212, 2010. ,
An Augmented Lagrangian Approach to the Constrained Optimization Formulation of Imaging Inverse Problems, IEEE Transactions on Image Processing, vol.20, issue.3, pp.681-695, 2011. ,
DOI : 10.1109/TIP.2010.2076294
L1-L2 Optimization in Signal and Image Processing, IEEE Signal Processing Magazine, vol.27, issue.3, pp.76-88, 2010. ,
DOI : 10.1109/MSP.2010.936023
URL : https://hal.archives-ouvertes.fr/inria-00567455
A Majorize–Minimize Strategy for Subspace Optimization Applied to Image Restoration, IEEE Transactions on Image Processing, vol.20, issue.6, pp.1517-1528, 2011. ,
DOI : 10.1109/TIP.2010.2103083
A Majorize-Minimize Subspace Approach for $\ell_2-\ell_0$ Image Regularization, Special issue on Image Restoration and Enhancement: Recent Advances and Applications, pp.563-591, 2013. ,
DOI : 10.1137/11085997X
Adaptive Filter Theory, 2002. ,
Stochastic Learning, Advanced Lectures on Machine Learning, pp.146-168, 2004. ,
DOI : 10.1007/978-1-4757-2440-0
Acceleration of Stochastic Approximation by Averaging, SIAM Journal on Control and Optimization, vol.30, issue.4, pp.838-855, 1992. ,
DOI : 10.1137/0330046
Non-asymptotic analysis of stochastic approximation algorithms for machine learning, Proc ,
URL : https://hal.archives-ouvertes.fr/hal-00608041
Ciochin? a, Sparse adaptive filters for echo cancellation, Synthesis Lectures on Speech and Audio Processing, 2010. ,
A sparse adaptive filtering using time-varying soft-thresholding techniques, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing, pp.3734-3737, 2010. ,
DOI : 10.1109/ICASSP.2010.5495870
Online adaptive estimation of sparse signals: where RLS meets the ?1 -norm, IEEE Trans. Signal Process, pp.3436-3447, 2010. ,
Dual averaging methods for regularized stochastic learning and online optimization, J. Mach. Learn. Res, vol.11, pp.2543-2596, 2010. ,
A stochastic Newton method for stochastic quadratic programs with recourse, technical report, 1995. ,
SGD-QN: Careful quasi-Newton stochastic gradient descent, J. Mach. Learn. Res, vol.10, pp.1737-1754, 2009. ,
URL : https://hal.archives-ouvertes.fr/hal-00750911
A stochastic quasi-Newton method for online convex optimization, J. Mach. Learn. Res, vol.11, pp.1145-1200, 2010. ,
A Stochastic Quasi-Newton Method for Large-Scale Optimization, SIAM Journal on Optimization, vol.26, issue.2, 2014. ,
DOI : 10.1137/140954362
A New TwIST: Two-Step Iterative Shrinkage/Thresholding Algorithms for Image Restoration, IEEE Transactions on Image Processing, vol.16, issue.12, pp.2992-3004, 2007. ,
DOI : 10.1109/TIP.2007.909319