Optimal augmentation size for BONuS under a point-mass prior
Optimal augmentation size for BONuS under a point-mass prior
Let be the choice of augmentation size that maximizes the power of BONuS for a point-mass prior, with fixed. Optimal augmentation-size conjecture.
The preceding expansion balances a pseudocount bias of order against learner degradation of order , suggesting this scaling. Whether the exact BONuS power has this optimizer remains open.
Sources & referencesView supporting material
Primary source
Abhinav Chakraborty, Junu Lee and Eugene Katsevich, “Power of masking methods for adaptive testing in a multivariate normal means problem”, arXiv:2601.07764 (2026).
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