Anisotropic Trust Region Warping for Prior-Data Fitted Networks in Bayesian Optimisation
arXiv:2610.37737v1 Announce Type: new Abstract: Prior-Data Fitted Networks (PFNs) replace the hyperparameter refitting of Gaussian Process (GP) surrogates in Bayesian optimisation with a single forward pass, at the cost of a prior that is fixed at meta-training time. We show empirically that a PFN'…
Read the full story at arXiv cs.LG ↗
Timeline · 1 report
- 2026-10-30 04:00 · arXiv cs.LG
Anisotropic Trust Region Warping for Prior-Data Fitted Networks in Bayesian Optimisation