171 citations · 624 across the 37 of their papers we have counts for
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stat.ME2017★ 2 cited
PULasso: High-dimensional variable selection with presence-only data
Hyebin Song, Garvesh Raskutti
In various real-world problems, we are presented with classification problems with positive and unlabeled data, referred to as presence-only responses. In this paper, we study vari…
stat.ML2017★ 12 cited
Learning Quadratic Variance Function (QVF) DAG models via OverDispersion Scoring (ODS)
Gunwoong Park, Garvesh Raskutti
Learning DAG or Bayesian network models is an important problem in multi-variate causal inference. However, a number of challenges arises in learning large-scale DAG models includi…