3 citations · 5 across the 5 of their papers we have counts for
5 papers
Learning with Semi-Definite Programming: new statistical bounds based on fixed point analysis and excess risk curvature
Stéphane Chrétien, Mihai Cucuringu, Guillaume Lecué +1
Many statistical learning problems have recently been shown to be amenable to Semi-Definite Programming (SDP), with community detection and clustering in Gaussian mixture models as…
On the subdifferential of symmetric convex functions of the spectrum for symmetric and orthogonally decomposable tensors
Stéphane Chrétien, Tianwen Wei
The subdifferential of convex functions of the singular spectrum of real matrices has been widely studied in matrix analysis, optimization and automatic control theory. Convex opti…
Small coherence implies the weak Null Space Property
Stéphane Chrétien, Zhen Wai Olivier Ho
In the Compressed Sensing community, it is well known that given a matrix with normalized columns, the Restricted Isometry Property (RIP) imp…
Using the LASSO for gene selection in bladder cancer data
Stéphane Chrétien, Christophe Guyeux, Michael Boyer-Guittaut +2
Given a gene expression data array of a list of bladder cancer patients with their tumor states, it may be difficult to determine which genes can operate as disease markers when th…
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
Stéphane Chrétien, Christophe Guyeux, Bastien Conesa +4
To extract the relevant features in a given dataset is a difficult task, recently resolved in the non-negative data case with the Non-negative Matrix factorization (NMF) method. Th…