2 papers
stat.ML2026
Conformal Risk Control under Non-Monotone Losses: Theory and Finite-Sample Guarantees
Tareq Aldirawi, Yun Li, Wenge Guo
Conformal risk control (CRC) provides distribution-free guarantees for controlling the expected loss at a user-specified level. Existing theory typically assumes that the loss decr…
eess.IV2025
Joint semi-supervised and contrastive learning enables domain generalization and multi-domain segmentation
Alvaro Gomariz, Yusuke Kikuchi, Yun Yvonna Li +5
Despite their effectiveness, current deep learning models face challenges with images coming from different domains with varying appearance and content. We introduce SegCLR, a vers…