2 papers
cs.LG2023
Loss-Controlling Calibration for Predictive Models
Di Wang, Junzhi Shi, Pingping Wang +2
We propose a learning framework for calibrating predictive models to make loss-controlling prediction for exchangeable data, which extends our recently proposed conformal loss-cont…
cs.LG2023
Conformal Loss-Controlling Prediction
Di Wang, Ping Wang, Zhong Ji +2
Conformal prediction is a learning framework controlling prediction coverage of prediction sets, which can be built on any learning algorithm for point prediction. This work propos…