3 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…
cs.LG2022
On Transfer of Adversarial Robustness from Pretraining to Downstream Tasks
Laura Fee Nern, Harsh Raj, Maurice Georgi +1
As large-scale training regimes have gained popularity, the use of pretrained models for downstream tasks has become common practice in machine learning. While pretraining has been…