Blind Regression: Nonparametric Regression for Latent Variable Models via Collaborative Filtering

Dogyoon Song, Christina E. Lee, Yihua Li, Devavrat Shah

Neural Information Processing Systems 

We introduce the framework of blind regression motivated by matrix completion for recommendation systems: given m users, n movies, and a subset of user-movie ratings, the goal is to predict the unobserved user-movie ratings given the data, i.e., to complete the partially observed matrix.