Mario V. Wüthrich

Publication Activity (10 Years)

Years Active: 2017-2023
Publications (10 Years): 12

Top Topics

Conditional Expectation

Top Venues

Data Min. Knowl. Discov.

Publications

Ronald Richman, Mario V. Wüthrich
LASSO regularization within the LocalGLMnet architecture. Adv. Data Anal. Classif. 17 (4) (2023)
Mario V. Wüthrich, Johanna Ziegel
Isotonic Recalibration under a Low Signal-to-Noise Ratio. CoRR (2023)
Ronald Richman, Mario V. Wüthrich
Smoothness and monotonicity constraints for neural networks using ICEnet. CoRR (2023)
Ronald Richman, Mario V. Wüthrich
Conditional expectation network for SHAP. CoRR (2023)
Mario V. Wüthrich
Model selection with Gini indices under auto-calibration. CoRR (2022)
Mathias Lindholm, Ronald Richman, Andreas Tsanakas, Mario V. Wüthrich
A multi-task network approach for calculating discrimination-free insurance prices. CoRR (2022)
Michael Merz, Ronald Richman, Andreas Tsanakas, Mario V. Wüthrich
Interpreting deep learning models with marginal attribution by conditioning on quantiles. Data Min. Knowl. Discov. 36 (4) (2022)
Guangyuan Gao, He Wang, Mario V. Wüthrich
Boosting Poisson regression models with telematics car driving data. Mach. Learn. 111 (1) (2022)
Mathias Lindholm, Ronald Richman, Andreas Tsanakas, Mario V. Wüthrich
A Discussion of Discrimination and Fairness in Insurance Pricing. CoRR (2022)
Ronald Richman, Mario V. Wüthrich
LocalGLMnet: interpretable deep learning for tabular data. CoRR (2021)
Michael Merz, Ronald Richman, Andreas Tsanakas, Mario V. Wüthrich
Interpreting Deep Learning Models with Marginal Attribution by Conditioning on Quantiles. CoRR (2021)
Philippe Deprez, Mario V. Wüthrich
Construction of Directed Assortative Configuration Graphs. Internet Math. 2017 (2017)