arXiv Machine Learning
Oct 15

Unification and Optimization of Robust Supervised Learning

arXiv:2605.28165v2 Announce Type: replace Abstract: Robust learning methods such as distributionally robust optimization, vicinal risk minimization, Mixup, and label smoothing address different sourc...

By Jonas Hanselle, Valentin Margraf, Clemens Damke, Eyke H\"ullermeier
arXiv Machine Learning
Aug 11

Coupled Training with Privileged Information and Unlabeled Data

arXiv:2605. 23268v2 Announce Type: replace-cross Abstract: In many prediction problems, we have extra information during training (for example, measurements that are expensive or slow to collect) that will not be available when the model is deployed.

By Jiahao Shi, Omar Hagrass, Jason M. Klusowski