2 citations · 3 across the 4 of their papers we have counts for
4 papers
Constructing Prediction Intervals with Neural Networks: An Empirical Evaluation of Bootstrapping and Conformal Inference Methods
Alex Contarino, Christine Schubert Kabban, Chancellor Johnstone +1
Artificial neural networks (ANNs) are popular tools for accomplishing many machine learning tasks, including predicting continuous outcomes. However, the general lack of confidence…
Exact and Approximate Conformal Inference for Multi-Output Regression
Chancellor Johnstone, Eugene Ndiaye
It is common in machine learning to estimate a response given covariate information . However, these predictions alone do not quantify any uncertainty associated with said p…
Using Conformal Win Probability to Predict the Winners of the Cancelled 2020 NCAA Basketball Tournaments
Chancellor Johnstone, Dan Nettleton
The COVID-19 pandemic was responsible for the cancellation of both the men's and women's 2020 National Collegiate Athletic Association (NCAA) Division 1 basketball tournaments. Sta…
Conformal Uncertainty Sets for Robust Optimization
Chancellor Johnstone, Bruce Cox
Decision-making under uncertainty is hugely important for any decisions sensitive to perturbations in observed data. One method of incorporating uncertainty into making optimal dec…