Bayesian evidence recovers dimensionality where held-out loss fails — at equal n
BlackHC · x · 2026-09-09
Continuing the thread: the growing signal is how Bayesian evidence recovers dimensionality in Bayesian PCA where held-out loss struggles (Lotfi et al. 2022).
Key caveat: the identity holds at equal n. Simpler models spend fewer FLOPs per example, and scaling laws put compute on the x-axis, where areas mean something else.
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