Minimax-optimal Scaling Laws in Ridge Regression via Transfer Learning
Pretrained models are often reused across downstream tasks, motivating the question of whether this transfer learning procedure can provide a substantial performance improvement, namely, in terms of the scaling law.
By Yalda Shabanzadeh, Diyuan Wu, Marco MondelliarXiv - stat.ML
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Originally published by arXiv - stat.ML on Oct 19, 2026.
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