Author

Yan-Shuo Tan

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#machine learning Preprint Oct 2026

Learning Decision-Stump Thresholds in Context: Dynamics of Softmax Attention

Estimating a decision threshold requires locating observations near an unknown boundary. We study how gradient-based pretraining learns this statistical rule in a two-parameter softmax-attention model with a fixed feature and inequality direction. Pretraining uses labeled contexts and their true thresholds; a fresh thr...

H. Lệ, Jackie Lok, Atsushi Nitanda et al. · 0 citations

#machine learning Preprint Oct 2026

Adaptive Mean Estimation by In-Context Learning: A Gradient-Flow Analysis

Prior Fitted Networks (PFNs) such as TabPFN now rival established statistical procedures across prediction and estimation tasks. A natural explanation is that PFNs have the property of statistical adaptivity, that is, they perform nearly as well as a method tailored to the true data-generating model for a heterogeneous...

Martin Eppert, K. Balasubramanian, Subhro Ghosh et al. · 0 citations