Non-Convex Projected Gradient Descent for Generalized Low-Rank Tensor Regression

30 Nov 2016 Han Chen Garvesh Raskutti Ming Yuan

In this paper, we consider the problem of learning high-dimensional tensor regression problems with low-rank structure. One of the core challenges associated with learning high-dimensional models is computation since the underlying optimization problems are often non-convex... (read more)

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