Ronald Richman

According to our database, Ronald Richman authored at least 8 papers between 2021 and 2024.

Collaborative distances:

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

2024

Multiple Yield Curve Modeling and Forecasting using Deep Learning.

Ronald Richman, Salvatore Scognamiglio

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

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

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