A short relatable scenario that will personalize win-back based on Laplace approximation accuracy for termination: the Laplace approximation approximates the marginal likelihood using a Gaussian around the posterior mode. The approximation error (e.g.,

Here's a confident contrarian opinion: bootstrap confidence intervals for readout performance metrics (e.g., accuracy) quantify uncertainty. Narrower confidence intervals (e.g., ±0.1%) indicate more precise performance estimates. The bootstrap confiden

A short relatable scenario that will personalize win-back based on Occam's razor (simplicity principle) for termination: simpler models that fit the data well are preferred. When the simplest termination model (e.g., linear) fits significantly better t