Ronald Richman

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 9

Top Topics

Conditional Expectation

Top Venues

Data Min. Knowl. Discov.

Adv. Data Anal. Classif.

Publications

Ronald Richman, Salvatore Scognamiglio
Multiple Yield Curve Modeling and Forecasting using Deep Learning. CoRR (2024)
Ronald Richman, Mario V. Wüthrich
LASSO regularization within the LocalGLMnet architecture. Adv. Data Anal. Classif. 17 (4) (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)
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)
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)