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

arXiv:2610.07074v1 Announce Type: new Abstract: 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. Pre…

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  1. 2026-10-07 04:00 · arXiv stat.ML
    Learning Decision-Stump Thresholds in Context: Dynamics of Softmax Attention

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