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08/28/2023
Statistical Inference on Grayscale Images via the Euler-Radon Transform
Tools from topological data analysis have been widely used to represent ...
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06/20/2023
Should I Stop or Should I Go: Early Stopping with Heterogeneous Populations
Randomized experiments often need to be stopped prematurely due to the t...
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02/03/2023
A Simple Approach for Local and Global Variable Importance in Nonlinear Regression Models
The ability to interpret machine learning models has become increasingly...
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04/27/2022
Randomness and Statistical Inference of Shapes via the Smooth Euler Characteristic Transform
In this paper, we provide the mathematical foundations for the randomnes...
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07/20/2020
Generalizing Variational Autoencoders with Hierarchical Empirical Bayes
Variational Autoencoders (VAEs) have experienced recent success as data-...
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01/28/2019
Interpreting Deep Neural Networks Through Variable Importance
While the success of deep neural networks (DNNs) is well-established acr...
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01/22/2018
Predictor Variable Prioritization in Nonlinear Models: A Genetic Association Case Study
The central aim in this paper is to address variable selection questions...
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08/05/2015