3 papers
stat.ME2026
Interpretable AI with Local Distillation
Erin Craig, Yiling Huang, Snigdha Panigrahi
Modern AI models such as tabular foundation models and gradient-boosted ensembles can outpredict classical methods, but provide little basis for reasoning about their predictions.…
stat.ML2025
Supervised learning pays attention
Erin Craig, Robert Tibshirani
In-context learning with attention enables large neural networks to make context-specific predictions by selectively focusing on relevant examples. Here, we adapt this idea to supe…
stat.ME2024
Pretraining and the Lasso
Erin Craig, Mert Pilanci, Thomas Le Menestrel +7
Pretraining is a popular and powerful paradigm in machine learning to pass information from one model to another. As an example, suppose one has a modest-sized dataset of images of…