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cs.LG2026
Fast Learning Rate Transfer in Shallow Linear Networks at Growing Training Horizons
Mana Sakai, Masaaki Imaizumi
Hyperparameter transfer across model width can substantially reduce the cost of tuning large neural networks, but its behavior when the training horizon grows with width is not ful…
stat.ML2026
Spectrum-Adaptive Generalization Bounds for Trained Deep Transformers
Mana Sakai, Masaaki Imaizumi
Understanding why trained Transformers generalize well is a fundamental problem in modern machine learning theory, and complexity-based generalization bounds provide a principled w…