14 citations · 14 across the 2 of their papers we have counts for
2 papers
math.OC2014
Hybrid Conditional Gradient - Smoothing Algorithms with Applications to Sparse and Low Rank Regularization
Andreas Argyriou, Marco Signoretto, Johan Suykens
We study a hybrid conditional gradient - smoothing algorithm (HCGS) for solving composite convex optimization problems which contain several terms over a bounded set. Examples of t…
cs.LG2013★ 14 cited
Learning Tensors in Reproducing Kernel Hilbert Spaces with Multilinear Spectral Penalties
Marco Signoretto, Lieven De Lathauwer, Johan A. K. Suykens
We present a general framework to learn functions in tensor product reproducing kernel Hilbert spaces (TP-RKHSs). The methodology is based on a novel representer theorem suitable f…