3 papers
stat.ML2025
Heterogeneous Multisource Transfer Learning via Model Averaging for Positive-Unlabeled Data
Jialei Liu, Jun Liao, Kuangnan Fang
Positive-Unlabeled (PU) learning presents unique challenges due to the lack of explicitly labeled negative samples, particularly in high-stakes domains such as fraud detection and…
stat.ME2025
Network Model Averaging Prediction for Latent Space Models by K-Fold Edge Cross-Validation
Yan Zhang, Jun Liao, Xinyan Fan +2
In complex systems, networks represent connectivity relationships between nodes through edges. Latent space models are crucial in analyzing network data for tasks like community de…
cs.LG2025
Correcting Noisy Multilabel Predictions: Modeling Label Noise through Latent Space Shifts
Weipeng Huang, Qin Li, Yang Xiao +5
Noise in data appears to be inevitable in most real-world machine learning applications and would cause severe overfitting problems. Not only can data features contain noise, but l…