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Christina E. Lee

2 accepted papers

2017

Thy Friend is My Friend: Iterative Collaborative Filtering for Sparse Matrix Estimation

NeurIPS 2017poster

The sparse matrix estimation problem consists of estimating the distribution of an $n\times n$ matrix $Y$, from a sparsely observed single instance of this matrix where the entries of $Y$ are independent random variables. This captures a wide array of problems; special instances include matrix comp…

Cited by 35SourcePDFScholar
2016

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

NeurIPS 2016poster

We introduce the framework of {\em blind regression} motivated by {\em 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 mat…

Cited by 60SourcePDFScholar