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ORCIDRonald Richman
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2020 – today
- 2026
[j3]Mathias Lindholm, Ronald Richman
, Andreas Tsanakas, Mario V. Wüthrich:
Sensitivity-based measures of discrimination in insurance pricing. Eur. J. Oper. Res. 333(2): 601-615 (2026)- [i12]Benjamin Avanzi, Ronald Richman, Bernard Wong, Mario V. Wüthrich, Yagebu Xie:
Reinforcement Learning for Micro-Level Claims Reserving. CoRR abs/2601.07637 (2026) - [i11]Kishan Padayachy, Ronald Richman, Mario V. Wüthrich:
Tab-TRM: Tiny Recursive Model for Insurance Pricing on Tabular Data. CoRR abs/2601.07675 (2026) - 2025
- [i10]Ronald Richman, Salvatore Scognamiglio, Mario V. Wüthrich:
Tree-like Pairwise Interaction Networks. CoRR abs/2508.15678 (2025) - [i9]Kishan Padayachy, Ronald Richman, Salvatore Scognamiglio, Mario V. Wüthrich:
In-Context Learning Enhanced Credibility Transformer. CoRR abs/2509.08122 (2025) - 2024
- [i8]Ronald Richman, Salvatore Scognamiglio:
Multiple Yield Curve Modeling and Forecasting using Deep Learning. CoRR abs/2401.16985 (2024) - [i7]Ronald Richman, Salvatore Scognamiglio, Mario V. Wüthrich:
The Credibility Transformer. CoRR abs/2409.16653 (2024) - 2023
- [j2]Ronald Richman, Mario V. Wüthrich:
LASSO regularization within the LocalGLMnet architecture. Adv. Data Anal. Classif. 17(4): 951-981 (2023) - [i6]Ronald Richman, Mario V. Wüthrich:
Smoothness and monotonicity constraints for neural networks using ICEnet. CoRR abs/2305.08807 (2023) - [i5]Ronald Richman, Mario V. Wüthrich:
Conditional expectation network for SHAP. CoRR abs/2307.10654 (2023) - 2022
- [j1]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): 1335-1370 (2022) - [i4]Mathias Lindholm, Ronald Richman, Andreas Tsanakas, Mario V. Wüthrich:
A multi-task network approach for calculating discrimination-free insurance prices. CoRR abs/2207.02799 (2022) - [i3]Mathias Lindholm, Ronald Richman, Andreas Tsanakas, Mario V. Wüthrich:
A Discussion of Discrimination and Fairness in Insurance Pricing. CoRR abs/2209.00858 (2022) - 2021
- [i2]Michael Merz, Ronald Richman, Andreas Tsanakas, Mario V. Wüthrich:
Interpreting Deep Learning Models with Marginal Attribution by Conditioning on Quantiles. CoRR abs/2103.11706 (2021) - [i1]Ronald Richman, Mario V. Wüthrich:
LocalGLMnet: interpretable deep learning for tabular data. CoRR abs/2107.11059 (2021)
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