363 citations · 989 across the 32 of their papers we have counts for
38 papers
Predicting Rare Events by Shrinking Towards Proportional Odds
Gregory Faletto, Jacob Bien
Training classifiers is difficult with severe class imbalance, but many rare events are the culmination of a sequence with much more common intermediate outcomes. For example, in o…
Generalized Data Thinning Using Sufficient Statistics
Ameer Dharamshi, Anna Neufeld, Keshav Motwani +3
Our goal is to develop a general strategy to decompose a random variable into multiple independent random variables, without sacrificing any information about unknown parameter…
Inferring independent sets of Gaussian variables after thresholding correlations
Arkajyoti Saha, Daniela Witten, Jacob Bien
We consider testing whether a set of Gaussian variables, selected from the data, is independent of the remaining variables. We assume that this set is selected via a very simple ap…
Prediction Sets for High-Dimensional Mixture of Experts Models
Adel Javanmard, Simeng Shao, Jacob Bien
Large datasets make it possible to build predictive models that can capture heterogenous relationships between the response variable and features. The mixture of high-dimensional l…
Interactive Exploration of Large Dendrograms with Prototypes
Andee Kaplan, Jacob Bien
Hierarchical clustering is one of the standard methods taught for identifying and exploring the underlying structures that may be present within a data set. Students are shown exam…
Cluster Stability Selection
Gregory Faletto, Jacob Bien
Stability selection (Meinshausen and Buhlmann, 2010) makes any feature selection method more stable by returning only those features that are consistently selected across many subs…