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stat.ML2024
PUAL: A Classifier on Trifurcate Positive-Unlabeled Data
Xiaoke Wang, Xiaochen Yang, Rui Zhu +1
Positive-unlabeled (PU) learning aims to train a classifier using the data containing only labeled-positive instances and unlabeled instances. However, existing PU learning methods…
stat.ML2020
Towards Certified Robustness of Distance Metric Learning
Xiaochen Yang, Yiwen Guo, Mingzhi Dong +1
Metric learning aims to learn a distance metric such that semantically similar instances are pulled together while dissimilar instances are pushed away. Many existing methods consi…