On Low-rank Trace Regression under General Sampling Distribution.
arXiv: Learning, 2019.
A growing number of modern statistical learning problems involve estimating a large number of parameters from a (smaller) number of observations. In a subset of these problems (matrix completion, matrix compressed sensing, and multi-task learning) the unknown parameters form a high-dimensional matrix, and two popular approaches for the es...More
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