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math.ST2023★ 1 cited
Uncertainty quantification via cross-validation and its variants under algorithmic stability
Nicolai Amann, Hannes Leeb, Lukas Steinberger
Recently, there has been substantial interest in statistical guarantees for cross-validation (CV) methods of uncertainty quantification in statistical learning (cf. Barber et al. 2…
math.ST2023★ 1 cited
Efficiency in local differential privacy
Lukas Steinberger
We develop a theory of asymptotic efficiency in regular parametric models when data confidentiality is ensured by local differential privacy (LDP). Even though efficient parameter…