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20082021
most citedA Semi-Definite Programming approach to low dimensional embedding for unsupervised clustering

6 citations · 14 across the 27 of their papers we have counts for

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Showing 2018Show all

6 papers · 1 filter

math.NA2018

A note on computing the Smallest Conic Singular Value

Stephane Chretien

The goal of this note is to study the smallest conic singular value of a matrix from a Lagrangian duality viewpoint and provide an efficient method for its computation.

cs.IT2018

Multi-kernel unmixing and super-resolution using the Modified Matrix Pencil method

Stéphane Chrétien, Hemant Tyagi

Consider groups of point sources or spike trains, with the group represented by . For a function , let $g_l(t) = g(…

cs.DS2018

Online shortest paths with confidence intervals for routing in a time varying random network

Stéphane Chrétien, Christophe Guyeux

The increase in the world's population and rising standards of living is leading to an ever-increasing number of vehicles on the roads, and with it ever-increasing difficulties in…

stat.CO2018★ 1 cited

Hedging parameter selection for basis pursuit

Stephane Chretien, Alex Gibberd, Sandipan Roy

In Compressed Sensing and high dimensional estimation, signal recovery often relies on sparsity assumptions and estimation is performed via -penalized least-squares optimiz…

cs.LG2018

Feature selection in weakly coherent matrices

Stephane Chretien, Zhen-Wai Olivier Ho

A problem of paramount importance in both pure (Restricted Invertibility problem) and applied mathematics (Feature extraction) is the one of selecting a submatrix of a given matrix…

math.ST2018

Average performance analysis of the stochastic gradient method for online PCA

Stephane Chretien, Christophe Guyeux, Zhen-Wai Olivier HO

This paper studies the complexity of the stochastic gradient algorithm for PCA when the data are observed in a streaming setting. We also propose an online approach for selecting t…