Arnaud Breloy

Arnaud Breloy

Professor

CNAM

About

Currently professor at CNAM and the CEDRIC laboratory.

Doing research about statistics and optimization methods for various applications in machine learning and signal processing:

  • Dimension reduction and variable selection: probabilistic/sparse PCA, graphical models, robust subspace recovery, low-rank matrix factorization.
  • Information geometry: performance bounds, Riemannian optimization, and classification/clustering with metrics induced by statistical models.
  • Statistical signal processing: robust signal subspace and structured covariance matrix estimation, adaptive detection/beamforming.