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math.ST2023★ 2 cited
Confidence and Uncertainty Assessment for Distributional Random Forests
Jeffrey Näf, Corinne Emmenegger, Peter Bühlmann +1
The Distributional Random Forest (DRF) is a recently introduced Random Forest algorithm to estimate multivariate conditional distributions. Due to its general estimation procedure,…
math.ST2020★ 1 cited
High Probability Lower Bounds for the Total Variation Distance
Loris Michel, Jeffrey Näf, Nicolai Meinshausen
The statistics and machine learning communities have recently seen a growing interest in classification-based approaches to two-sample testing. The outcome of a classification-base…