2 papers
cs.LG2026
Predicting Mortgage Default with Machine Learning: AutoML, Class Imbalance, and Leakage Control
Xianghong Hu, Tianning Xu, Ying Chen +1
Mortgage default prediction is a core task in financial risk management, and machine learning models are increasingly used to estimate default probabilities and provide interpretab…
stat.ML2026
MFAI: A Scalable Bayesian Matrix Factorization Approach to Leveraging Auxiliary Information
Zhiwei Wang, Fa Zhang, Cong Zheng +3
In various practical situations, matrix factorization methods suffer from poor data quality, such as high data sparsity and low signal-to-noise ratio (SNR). Here, we consider a mat…