Mario V. Wüthrich

According to our database, Mario V. Wüthrich authored at least 14 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

The Credibility Transformer.

Ronald Richman, Salvatore Scognamiglio, Mario V. Wüthrich

CoRR, 2024

2023

LASSO regularization within the LocalGLMnet architecture.

Ronald Richman, Mario V. Wüthrich

Adv. Data Anal. Classif., December, 2023

Conditional expectation network for SHAP.

Ronald Richman, Mario V. Wüthrich

CoRR, 2023

Smoothness and monotonicity constraints for neural networks using ICEnet.

Ronald Richman, Mario V. Wüthrich

CoRR, 2023

Isotonic Recalibration under a Low Signal-to-Noise Ratio.

Mario V. Wüthrich, Johanna Ziegel

CoRR, 2023

2022

Boosting Poisson regression models with telematics car driving data.

Guangyuan Gao, He Wang, Mario V. Wüthrich

Mach. Learn., 2022

Interpreting deep learning models with marginal attribution by conditioning on quantiles.

Michael Merz, Ronald Richman, Andreas Tsanakas, Mario V. Wüthrich

Data Min. Knowl. Discov., 2022

A Discussion of Discrimination and Fairness in Insurance Pricing.

Mathias Lindholm, Ronald Richman, Andreas Tsanakas, Mario V. Wüthrich

CoRR, 2022

Model selection with Gini indices under auto-calibration.

Mario V. Wüthrich

CoRR, 2022

A multi-task network approach for calculating discrimination-free insurance prices.

Mathias Lindholm, Ronald Richman, Andreas Tsanakas, Mario V. Wüthrich

CoRR, 2022

2021

LocalGLMnet: interpretable deep learning for tabular data.

Ronald Richman, Mario V. Wüthrich

CoRR, 2021

2017

Sequential Monte Carlo Sampling for State Space Models.

Mario V. Wüthrich

Proceedings of the Robustness in Econometrics, 2017

Construction of Directed Assortative Configuration Graphs.

Philippe Deprez, Mario V. Wüthrich

Internet Math., 2017

2016

Consistent Re-Calibration in Yield Curve Modeling: An Example.

Mario V. Wüthrich

Proceedings of the Causal Inference in Econometrics, 2016