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 […]
LC-PFN: Efficient Bayesian Learning Curve Extrapolation using Prior-Data Fitted Networks
Posted on December 8, 2023 by Steven Adriaensen