48 citations · 95 across the 9 of their papers we have counts for
9 papers
Redistributor: Transforming Empirical Data Distributions
Pavol Harar, Dennis Elbrächter, Monika Dörfler +1
We present an algorithm and package, Redistributor, which forces a collection of scalar samples to follow a desired distribution. When given independent and identically distributed…
Robust models of SARS-CoV-2 heterogeneity and control
Kory D. Johnson, Annemarie Grass, Daniel Toneian +2
In light of the continuing emergence of new SARS-CoV-2 variants and vaccines, we create a simulation framework for exploring possible infection trajectories under various scenarios…
Evidence suggests that SARS-CoV-2 rapid antigen tests provide benefits for epidemic control -- observations from Austrian schools
Jitka Polechová, Kory D. Johnson, Pavel Payne +4
Rapid antigen tests detect proteins at the surface of virus particles, identifying the disease during its infectious phase. In contrast, PCR tests detect viral genomes; they can th…
Disease Momentum: Estimating the Reproduction Number in the Presence of Superspreading
Kory D. Johnson, Mathias Beiglböck, Manuel Eder +6
A primary quantity of interest in the study of infectious diseases is the average number of new infections that an infected person produces. This so-called reproduction number has…
Adaptive, Distribution-Free Prediction Intervals for Deep Networks
Danijel Kivaranovic, Kory D. Johnson, Hannes Leeb
The machine learning literature contains several constructions for prediction intervals that are intuitively reasonable but ultimately ad-hoc in that they do not come with provable…
Impartial Predictive Modeling and the Use of Proxy Variables
Kory D. Johnson, Dean P. Foster, Robert A. Stine
Fairness aware data mining (FADM) aims to prevent algorithms from discriminating against protected groups. The literature has come to an impasse as to what constitutes explainable…
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…