98 citations · 365 across the 61 of their papers we have counts for
3 papers · 1 filter
Robust High-Dimensional Mean Estimation With Low Data Size, an Empirical Study
Cullen Anderson, Jeff M. Phillips
Robust statistics aims to compute quantities to represent data where a fraction of it may be arbitrarily corrupted. The most essential statistic is the mean, and in recent years, t…
The Kernel Spatial Scan Statistic
Mingxuan Han, Michael Matheny, Jeff M. Phillips
Kulldorff's (1997) seminal paper on spatial scan statistics (SSS) has led to many methods considering different regions of interest, different statistical models, and different app…
Protocols for Learning Classifiers on Distributed Data
Hal Daume, Jeff M. Phillips, Avishek Saha +1
We consider the problem of learning classifiers for labeled data that has been distributed across several nodes. Our goal is to find a single classifier, with small approximation e…