58 citations · 304 across the 27 of their papers we have counts for
3 papers · 1 filter
A determinantal point process for column subset selection
Ayoub Belhadji, Rémi Bardenet, Pierre Chainais
Dimensionality reduction is a first step of many machine learning pipelines. Two popular approaches are principal component analysis, which projects onto a small number of well cho…
Split-and-augmented Gibbs sampler - Application to large-scale inference problems
Maxime Vono, Nicolas Dobigeon, Pierre Chainais
This paper derives two new optimization-driven Monte Carlo algorithms inspired from variable splitting and data augmentation. In particular, the formulation of one of the proposed…
A complete framework for linear filtering of bivariate signals
Julien Flamant, Pierre Chainais, Nicolas Le Bihan
A complete framework for the linear time-invariant (LTI) filtering theory of bivariate signals is proposed based on a tailored quaternion Fourier transform. This framework features…