29 citations · 65 across the 13 of their papers we have counts for
Showing 2016Show all
2 papers · 1 filter
cs.LG2016
Mixture Proportion Estimation via Kernel Embedding of Distributions
Harish G. Ramaswamy, Clayton Scott, Ambuj Tewari
Mixture proportion estimation (MPE) is the problem of estimating the weight of a component distribution in a mixture, given samples from the mixture and component. This problem con…
stat.ML2016
A Mutual Contamination Analysis of Mixed Membership and Partial Label Models
Julian Katz-Samuels, 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…