2016
Dynamic matrix recovery from incomplete observations under an exact low-rank constraint
NeurIPS 2016poster
Low-rank matrix factorizations arise in a wide variety of applications -- including recommendation systems, topic models, and source separation, to name just a few. In these and many other applications, it has been widely noted that by incorporating temporal information and allowing for the possibi…