2 papers
stat.ML2019
Learning Sparse Nonparametric DAGs
Xun Zheng, Chen Dan, Bryon Aragam +2
We develop a framework for learning sparse nonparametric directed acyclic graphs (DAGs) from data. Our approach is based on a recent algebraic characterization of DAGs that led to…
cs.LG2018
Sample Complexity of Nonparametric Semi-Supervised Learning
Chen Dan, Liu Leqi, Bryon Aragam +2
We study the sample complexity of semi-supervised learning (SSL) and introduce new assumptions based on the mismatch between a mixture model learned from unlabeled data and the tru…