3 papers
cs.LG2026
Confidence Calibration of Deep Learning Systems
Coby Penso
In high-stakes applications, reliable confidence estimates are as important as the predictions themselves. Confidence calibration ensures that predicted probabilities reflect the l…
cs.LG2025
Privacy-Preserving Conformal Prediction Under Local Differential Privacy
Coby Penso, Bar Mahpud, Jacob Goldberger +1
Conformal prediction (CP) provides sets of candidate classes with a guaranteed probability of containing the true class. However, it typically relies on a calibration set with clea…
cs.LG2025
Conformal Prediction of Classifiers with Many Classes based on Noisy Labels
Coby Penso, Jacob Goldberger, Ethan Fetaya
Conformal Prediction (CP) controls the prediction uncertainty of classification systems by producing a small prediction set, ensuring a predetermined probability that the true clas…