639 citations · 2.9k across the 94 of their papers we have counts for
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A New Convex Relaxation for Tensor Completion
Bernardino Romera-Paredes, Massimiliano Pontil
We study the problem of learning a tensor from a set of linear measurements. A prominent methodology for this problem is based on a generalization of trace norm regularization, whi…
On Sparsity Inducing Regularization Methods for Machine Learning
Andreas Argyriou, Luca Baldassarre, Charles A. Micchelli +1
During the past years there has been an explosion of interest in learning methods based on sparsity regularization. In this paper, we discuss a general class of such methods, in wh…
Excess risk bounds for multitask learning with trace norm regularization
Andreas Maurer, Massimiliano Pontil
Trace norm regularization is a popular method of multitask learning. We give excess risk bounds with explicit dependence on the number of tasks, the number of examples per task and…