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stat.ML2025
A Theory of Learning with Autoregressive Chain of Thought
Nirmit Joshi, Gal Vardi, Adam Block +4
For a given base class of sequence-to-next-token generators, we consider learning prompt-to-answer mappings obtained by iterating a fixed, time-invariant generator for multiple ste…
stat.ML2023★ 1 cited
An Agnostic View on the Cost of Overfitting in (Kernel) Ridge Regression
Lijia Zhou, James B. Simon, Gal Vardi +1
We study the cost of overfitting in noisy kernel ridge regression (KRR), which we define as the ratio between the test error of the interpolating ridgeless model and the test error…