20 citations · 78 across the 12 of their papers we have counts for
Showing 2017Show all
2 papers · 1 filter
stat.ML2017★ 16 cited
Decontamination of Mutual Contamination Models
Julian Katz-Samuels, Gilles Blanchard, Clayton Scott
Many machine learning problems can be characterized by mutual contamination models. In these problems, one observes several random samples from different convex combinations of a s…
stat.ML2017★ 8 cited
Nonparametric Preference Completion
Julian Katz-Samuels, Clayton Scott
We consider the task of collaborative preference completion: given a pool of items, a pool of users and a partially observed item-user rating matrix, the goal is to recover the \em…