no code implementations • 16 Jun 2015 • Vincent Roulet, Fajwel Fogel, Alexandre d'Aspremont, Francis Bach
We study supervised learning problems using clustering constraints to impose structure on either features or samples, seeking to help both prediction and interpretation.
no code implementations • NeurIPS 2014 • Fajwel Fogel, Alexandre d'Aspremont, Milan Vojnovic
Intuitively, the algorithm assigns similar rankings to items that compare similarly with all others.
no code implementations • 20 Jun 2014 • Fajwel Fogel, Alexandre d'Aspremont, Milan Vojnovic
We first show that this spectral seriation algorithm recovers the true ranking when all pairwise comparisons are observed and consistent with a total order.
no code implementations • NeurIPS 2013 • Fajwel Fogel, Rodolphe Jenatton, Francis Bach, Alexandre d'Aspremont
Seriation seeks to reconstruct a linear order between variables using unsorted similarity information.