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stat.ML2020
Distributional Random Forests: Heterogeneity Adjustment and Multivariate Distributional Regression
Domagoj Ćevid, Loris Michel, Jeffrey Näf +2
Random Forest (Breiman, 2001) is a successful and widely used regression and classification algorithm. Part of its appeal and reason for its versatility is its (implicit) construct…
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…