Tutorials + Videos
Tutorials
Anastasios and Stephen wrote a hands-on introduction to conformal prediction and distribution-free uncertainty quantification aimed at a reader interested in their practical implementation, who is not necessarily a statistician. There are many explanatory illustrations, Python/PyTorch code samples, and examples. Any feedback is much appreciated and can be sent directly to the authors.
A this video accompanying the first two sections of the above manuscript.
A introduction to risk-controlling prediction sets -- an extension of conformal prediction to handle many supervised learning tasks.
A comprehensive, statistical tutorial to conformal prediction and distribution-free calibration.
Contributed Videos
Uncertainty Prediction in Deep Sequential Regression Using Meta Models [video] [paper]
Bayesian Multi Scale Neural Network for Crowd Counting [video] [paper]
CD-split and HPD-split: efficient conformal regions in high dimensions [video] [paper]
How Nonconformity Functions and Difficulty of Datasets Impact the Efficiency of Conformal Classifiers [video] [paper]
Nested conformal prediction and quantile out-of-bag ensemble methods [video] [paper]