Search Results for author:
Found 3 papers, 2 papers with code
Model-free generalized fiducial inference
Motivated by the need for the development of safe and reliable methods for uncertainty quantification in machine learning, I propose and develop ideas for a model-free statistical framework for imprecise probabilistic prediction inference.
Conformal prediction for text infilling and part-of-speech prediction
In our paper, we propose inductive conformal prediction (ICP) algorithms for the tasks of text infilling and part-of-speech (POS) prediction for natural language data.
An exposition of the false confidence theorem
A recent paper presents the "false confidence theorem" (FCT) which has potentially broad implications for statistical inference using Bayesian posterior uncertainty.
Methodology
