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stat.ML2026
Learning Decision-Stump Thresholds in Context: Dynamics of Softmax Attention
Hong Ha Le, Jackie Lok, Atsushi Nitanda +1
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 sof…
stat.ML2024
Error dynamics of mini-batch gradient descent with random reshuffling for least squares regression
Jackie Lok, Rishi Sonthalia, Elizaveta Rebrova
We study the discrete dynamics of mini-batch gradient descent with random reshuffling for least squares regression. We show that the training and generalization errors depend on a…