Adaptive Mean Estimation by In-Context Learning: A Gradient-Flow Analysis
Prior Fitted Networks (PFNs) such as TabPFN now rival established statistical procedures across prediction and estimation tasks. A natural explanation is that PFNs have the property of statistical adaptivity, that is, they perform nearly as well as a method tailored to the true data-generating model for a heterogeneous...
Martin Eppert, K. Balasubramanian, Subhro Ghosh et al.
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