Optimal augmentation size for BONuS under a subspace prior
Optimal augmentation size for BONuS under a subspace prior
Let be the choice of augmentation size that maximizes the power of BONuS for a subspace prior, with fixed. Assume the strong-signal regime
Optimal augmentation-size conjecture. Under this regime,
The preceding small- expansion has the same versus trade-off as in the point-mass case, supporting the conjectured scaling. The exact optimizer for BONuS under the subspace prior remains open.
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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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