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stat.ML2026
Extrapolation in Statistical Learning with Extreme Value Theory
Sebastian Engelke, Nicola Gnecco, Anne Sabourin
Extreme value theory provides rigorous theory and statistical tools for extrapolation in machine learning, particularly in settings where traditional methods struggle due to data s…
stat.ML2025
Theoretical guarantees for neural estimators in parametric statistics
Almut Rödder, Manuel Hentschel, Sebastian Engelke
Neural estimators are simulation-based estimators for the parameters of a family of statistical models, which build a direct mapping from the sample to the parameter vector. They b…