St'ephane Chr'etien

发表

Invertibility of random submatrices via tail decoupling and a Matrix Chernoff Inequality

St'ephane Chr'etien, Sébastien Darses, 2011, 1103.3063.

On EM algorithms and their proximal generalizations

Alfred O. Hero, St'ephane Chr'etien, A. Hero, 2008, 1201.5912.

Learning with semi-definite programming: statistical bounds based on fixed point analysis and excess risk curvature

G. Lecu'e, St'ephane Chr'etien, Mihai Cucuringu, 2020, J. Mach. Learn. Res..

On the subdifferential of symmetric convex functions of the spectrum for symmetric and orthogonally decomposable tensors

St'ephane Chr'etien, Tianwen Wei, 2016, 1606.09471.

Small coherence implies the weak Null Space Property

Zhen Wai Olivier Ho, St'ephane Chr'etien, Z. Ho, 2016, 1606.09193.

Mixture model for designs in high dimensional regression and the LASSO

St'ephane Chr'etien, 2012, 1210.4762.

The dual approach to non-negative super-resolution: perturbation analysis

St'ephane Chr'etien, A. Thompson, B. Toader, 2020, 2007.02708.

Boolean learning under noise-perturbations in hardware neural networks

St'ephane Chr'etien, D. Brunner, L. Larger, 2020, Nanophotonics.

A Bregman Proximal ADMM for NMF with Outliers: Estimating features with missing values and outliers: a Bregman-proximal point algorithm for robust Non-negative Matrix Factorization with application to gene expression analysis

Christophe Guyeux, Bastien Conesa, St'ephane Chr'etien, 2015, 1502.02523.

Using the LASSO for gene selection in bladder cancer data

Christophe Guyeux, St'ephane Chr'etien, C. Guyeux, 2015, 1504.05004.

Kullback proximal algorithims for maximum-likelihood estimation

Alfred O. Hero, St'ephane Chr'etien, A. Hero, 2000, IEEE Trans. Inf. Theory.

Joint estimation and model order selection for one dimensional ARMA models via convex optimization: a nuclear norm penalization approach

St'ephane Chr'etien, Tianwen Wei, Basad Al-Sarray, 2015, 1508.01681.