no code implementations • 17 Mar 2014 • Guillaume Rabusseau, François Denis
Building upon a recent paper on tensor decompositions for learning latent variable models, we extend this work to the broader setting of tensors having a symmetric decomposition with positive and negative weights.
no code implementations • 21 Dec 2013 • François Denis, Mattias Gybels, Amaury Habrard
Existing concentration bounds seem to indicate that the concentration over $H_r$ gets looser with the size of $H_r$, suggesting to make a trade-off between the quantity of used information and the size of $H_r$.
