169 citations · 728 across the 45 of their papers we have counts for
6 papers · 1 filter
A Risk Ratio Comparison of and Penalized Regression
Kory D. Johnson, Dongyu Lin, Lyle H. Ungar +2
There has been an explosion of interest in using -regularization in place of -regularization for feature selection. We present theoretical results showing that while $l_1…
Fitting High-Dimensional Interaction Models with Error Control
Kory D. Johnson, Robert A. Stine, Dean P. Foster
There is a renewed interest in polynomial regression in the form of identifying influential interactions between features. In many settings, this takes place in a high-dimensional…
Submodularity in Statistics: Comparing the Success of Model Selection Methods
Kory D. Johnson, Robert A. Stine, Dean P. Foster
We demonstrate the usefulness of submodularity in statistics as a characterization of the difficulty of the \emph{search} problem of feature selection. The search problem is the ab…
Finding Linear Structure in Large Datasets with Scalable Canonical Correlation Analysis
Zhuang Ma, Yichao Lu, Dean Foster
Canonical Correlation Analysis (CCA) is a widely used spectral technique for finding correlation structures in multi-view datasets. In this paper, we tackle the problem of large sc…
Orbiting Radiation Stars
Dean P. Foster, John Langford, Gabe Perez-Giz
We study a numerical solution to Einstein's equation for a compact object composed of null particles. The solution avoids quantum scale regimes and hence neither relies upon nor ig…
Adaptive Monotone Shrinkage for Regression
Zhuang Ma, Dean Foster, Robert Stine
We develop an adaptive monotone shrinkage estimator for regression models with the following characteristics: i) dense coefficients with small but important effects; ii) a priori o…