How Well Do Prior-Data Fitted Networks Amortize Bayesian Inference?
arXiv:2610.13764v1 Announce Type: new Abstract: Prior-data fitted networks (PFNs) are trained to approximate the Bayesian posterior predictive distribution (PPD) of a synthetic prior, yet results about the approximation quality are surprisingly thin. Taking an empirical risk minimization perspectiv…
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- 2026-10-12 04:00 · arXiv stat.ML
How Well Do Prior-Data Fitted Networks Amortize Bayesian Inference?