Laura Fee Nern — accepted AI-conference papers

2025

Optimal downsampling for Imbalanced Classification with Generalized Linear Models

Yan Chen, Jose Blanchet, Krzysztof Dembczynski, Laura Fee Nern, Aaron Eliasib Flores

AISTATS 2025poster

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 classification using generalized linear models (GLMs). We propose a pseudo maximum likelihood estimator and study its asymp…

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2023

On Transfer of Adversarial Robustness from Pretraining to Downstream Tasks

Laura Fee Nern, Harsh Raj, Maurice Georgi, Yash Sharma

NeurIPS 2023poster

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 shown to enhance the performance of models in practice, the transfer of robustness properties from pretraining to downs…

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