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Freiburg-Hannover-Tübingen

LC-PFN: Efficient Bayesian Learning Curve Extrapolation using Prior-Data Fitted Networks

Authors: Steven Adriaensen*, Herilalaina Rakotoarison*, Samuel Müller, and Frank Hutter TL;DR In our paper, we propose LC-PFN, a novel method for Bayesian learning curve extrapolation. LC-PFN is a prior-data-fitted network (PFN), a transformer trained on synthetic learning curve data capable of doing Bayesian learning curve extrapolation in a single forward pass. We show that our […]

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