Publications

  1. A. Salim, P. Bianchi, R. Mourya, W. Hachem, C. Richard, « Stochastic Douglas Rachford algorithm with constant step size and application to asynchronous distributed optimization », in preparation.
  2. Rahul Mourya, Andre Ferrari, Rémi Flamary, Pascal Bianchi, and Cédric Richard, « Distributed Deblurring of Large Images of Wide Field-Of-View », submitted to IEEE Trans. on Image Processing.
  3. P. Bianchi, W. Hachem, A. Salim “A constant step Forward-Backward algorithm involving random maximal monotone operators,” submitted to Journal on Convex Analysis.
  4. P. Bianchi, W. Hachem, A. Salim “Asymptotics of Constant Step Stochastic Approximations Involving Differential Inclusions,” submitted to stochastics an international journal of probability and stochastic processes
  5. Nassif, Roula, Richard, Cédric, Ferrari, André, and Sayed, Ali H. « Diffusion LMS for multitask problems with local linear equality constraints », submitted to IEEE Trans. on Signal Processing
  6. O. Fercoq, P. Bianchi “A Coordinate Descent Primal-Dual Algorithm with Large Step Size and Possibly Non Separable Functions,” submitted to Journal of Optimization Theory and Applications
  7. P. Bianchi, W. Hachem “Dynamical behavior of a stochastic forward-backward algorithm using random monotone operators,” to appear in Journal of Optimization Theory and Applications
  8. G. Morral, P. Bianchi, G. Fort, “Success and Failure of Diffusion Adaption Algorithms for Multiagent Systems,” to appear in IEEE Transactions on Signal Processing
  9. Pascal Bianchi, Valeria Borodin, Faicel Hnaien, Nacima Labadie, Hichem Snoussi,
    « Operations Research and Signal Processing on graphs : case of sampling and perfect reconstructing tasks ». 17eme conférence ROADEF, Compiègne 10-12/02/2016. France, 2016.
  10. P. Bianchi “Ergodic convergence of a stochastic proximal point algorithm,” SIAM Journal on Optimization, Vol. 26, Issue 4, pp. 2235-2260
  11. Chen, Jie, Richard, Cédric, Song, Yingying, and Brie, David, « Transient performance analysis of zero-attracting LMS » Signal Processing Letters, IEEE, vol. 23, (12), pp. 1786-1790, 2016.
  12. Nassif, Roula, Richard, Cédric, Ferrari, André, and Sayed, Ali H., « Proximal multitask learning over networks with sparsity-inducing coregularization » Signal Processing, IEEE Transactions on, vol. 64, (23), pp. 6329-6344, 2016
  13. Nassif, Roula, Richard, Cédric, Ferrari, André, and Sayed, Ali H. « Multitask diffusion adaptation over asynchronous networks » Signal Processing, IEEE Transactions on, vol. 64, (11), pp. 2835-2850, 2016.
  14. P. Bianchi, F. Iutzeler, W. Hachem “A Stochastic Coordinate Descent Primal-Dual Algorithm and Applications to Large-Scale Composite Optimization,” IEEE Transactions on Automatic Control, Vol. 61, Issue 10, pp. 2947 – 2957
  15. G. Morral, P. Bianchi, “Distributed on-line multidimensional scaling for self-localization in wireless sensor networks,” Elsevier Signal Processing, vol. 120, pp. 88 – 98, March 2016.
  16. Mahfouz, Sandy, Mourad-Chehade, Farah, Honeine, Paul, Farah, Joumana, et Snoussi, Hichem, Kernel-based machine learning using radio-fingerprints for localization in WSNs, IEEE Transactions on Aerospace and Electronic Systems, 51 (2) , pp. 1324–1336, April, 2015.
  17. Jie Chen, Cédric Richard, and Ali H. Sayed. Diffusion lms over multitask networks. Signal Processing, IEEE Transactions on, 63(11):2733-2748, 2015.
  18. Jie Chen, Cédric Richard, and Ali H. Sayed. Multitask diffusion adaptation over networks. Signal Processing, IEEE Transactions on, 62(16):4129-4144, 2014