36 citations · 66 across the 8 of their papers we have counts for
3 papers · 1 filter
PRISMA: PRoximal Iterative SMoothing Algorithm
Francesco Orabona, Andreas Argyriou, Nathan Srebro
Motivated by learning problems including max-norm regularized matrix completion and clustering, robust PCA and sparse inverse covariance selection, we propose a novel optimization…
Sparse Prediction with the -Support Norm
Andreas Argyriou, Rina Foygel, Nathan Srebro
We derive a novel norm that corresponds to the tightest convex relaxation of sparsity combined with an penalty. We show that this new {\em -support norm} provides a tig…
A Regularization Approach for Prediction of Edges and Node Features in Dynamic Graphs
Emile Richard, Andreas Argyriou, Theodoros Evgeniou +1
We consider the two problems of predicting links in a dynamic graph sequence and predicting functions defined at each node of the graph. In many applications, the solution of one p…