2 papers
cs.LG2026
tensorFM: Low-Rank Approximations of Cross-Order Feature Interactions
Alessio Mazzetto, Mohammad Mahdi Khalili, Laura Fee Nern +3
We address prediction problems on tabular categorical data, where each instance is defined by multiple categorical attributes, each taking values from a finite set. These attribute…
stat.ML2024
Optimal Downsampling for Imbalanced Classification with Generalized Linear Models
Yan Chen, Jose Blanchet, Krzysztof Dembczynski +2
Downsampling or under-sampling is a technique that is utilized in the context of large and highly imbalanced classification models. We study optimal downsampling for imbalanced cla…