1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.LG2024
Investigating Data Usage for Inductive Conformal Predictors
Yizirui Fang, Anthony Bellotti
Inductive conformal predictors (ICPs) are algorithms that are able to generate prediction sets, instead of point predictions, which are valid at a user-defined confidence level, on…
cs.LG2023★ 1 cited
Reliable Prediction Intervals with Directly Optimized Inductive Conformal Regression for Deep Learning
Haocheng Lei, Anthony Bellotti
By generating prediction intervals (PIs) to quantify the uncertainty of each prediction in deep learning regression, the risk of wrong predictions can be effectively controlled. Hi…