Conformal Prediction: A Gentle Introduction

by Stephen Bates and Anastasios N Angelopoulos

Black-box machine learning models are now routinely used in high-risk settings, like medical diagnostics, which demand uncertainty quantification to avoid consequential model failures. Conformal prediction is a user-friendly paradigm for creating statistically rigorous uncertainty sets/intervals for the predictions of such models. One can use conformal prediction with any pre-trained model, such as a neural network, to produce sets that are guaranteed...

• Format: Paperback
• Language: English
• ISBN: 1638281580
• ISBN13: 9781638281580
• Release Date: March 2023
• Publisher: Now Publishers
• Length: 114 Pages
• Weight: 0.38 lbs.
• Dimensions: 0.2" x 6.1" x 9.2"