Bayesian Low-rank Matrix Completion

Speaker: The Tien Mai, Postdoc., Oslo Center for Biostatistics and Epidemiology (OCBE), University of Oslo.


Matrix completion has gained a significant interest over the past 10 years (starting by the Netflix challenge 2006). It aims at reconstructing an unknown matrix from a small subset of its (noisy) entries.  In this talk, we review some state-of-the-art approaches for matrix completion, especially on Bayesian methods. Statistical warranty for Bayesian methods is discussed together with some toy numerical experiments. We further discuss the Bi-Linear matrix completion with some open windows.


Published Sep. 13, 2017 12:29 PM - Last modified Sep. 13, 2017 12:29 PM