2 papers
stat.ME2026
Spiking the training data to correct for test set contamination
Johnny Tian-Zheng Wei, Jerry Li, Ameya Godbole +1
The literature on test set contamination largely focuses on detection, but the correction of contaminated test scores is underexplored. Our core proposal is to spike the training d…
quant-ph2026
Agnostic Product Mixed State Tomography via Robust Statistics
Alvan Arulandu, Ilias Diakonikolas, Daniel Kane +1
We study the complexity of two closely related learning problems, one quantum and one classical. In the quantum setting, we consider agnostic tomography for the natural class of pr…