Jeffrey Näf

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 7

Top Topics

Feature Importance

Top Venues

J. Mach. Learn. Res.

IEEE Trans. Signal Process.

Publications

Clément Bénard, Jeffrey Näf, Julie Josse
MMD-based Variable Importance for Distributional Random Forest. AISTATS (2024)
Simon Hediger, Jeffrey Näf, Michael Wolf
R-NL: Covariance Matrix Estimation for Elliptical Distributions Based on Nonlinear Shrinkage. IEEE Trans. Signal Process. 71 (2023)
Clément Bénard, Jeffrey Näf, Julie Josse
MMD-based Variable Importance for Distributional Random Forest. CoRR (2023)
Domagoj Cevid, Loris Michel, Jeffrey Näf, Peter Bühlmann, Nicolai Meinshausen
Distributional Random Forests: Heterogeneity Adjustment and Multivariate Distributional Regression. J. Mach. Learn. Res. 23 (2022)
Simon Hediger, Loris Michel, Jeffrey Näf
On the use of random forest for two-sample testing. Comput. Stat. Data Anal. 170 (2022)
Patrick Bachmann, Markus Meierer, Jeffrey Näf
The Role of Time-Varying Contextual Factors in Latent Attrition Models for Customer Base Analysis. Mark. Sci. 40 (4) (2021)
Jeffrey Näf, Marc S. Paolella, Pawel Polak
Heterogeneous tail generalized COMFORT modeling via Cholesky decomposition. J. Multivar. Anal. 172 (2019)