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stat.ML2026
Efficient and Minimax Optimal In-context Nonparametric Regression with Transformers
Michelle Ching, Ioana Popescu, Nico Smith +3
We study in-context learning for nonparametric regression with -Hölder smooth regression functions, for some . We prove that, with in-context examples and -dimens…
stat.ML2026
Optimal In-context Adaptivity and Distributional Robustness of Transformers
Tianyi Ma, Tengyao Wang, Richard J. Samworth
We study in-context learning problems where a Transformer is pretrained on tasks drawn from a mixture distribution , called the pretraining…