2019
Distributed Low-rank Matrix Factorization With Exact Consensus
NeurIPS 2019poster
Low-rank matrix factorization is a problem of broad importance, owing to the ubiquity of low-rank models in machine learning contexts. In spite of its non- convexity, this problem has a well-behaved geometric landscape, permitting local search algorithms such as gradient descent to converge to globa…