Ronald Richman

CoRR, January, 2026

Reinforcement Learning for Micro-Level Claims Reserving.

[BibT_eX]

[DOI]

CoRR, January, 2026

Sensitivity-based measures of discrimination in insurance pricing.

[BibT_eX]

[DOI]

Eur. J. Oper. Res., 2026

2025

In-Context Learning Enhanced Credibility Transformer.

[BibT_eX]

[DOI]

Kishan Padayachy

CoRR, September, 2025

Tree-like Pairwise Interaction Networks.

[BibT_eX]

[DOI]

CoRR, August, 2025

2024

The Credibility Transformer.

[BibT_eX]

[DOI]

CoRR, 2024

Multiple Yield Curve Modeling and Forecasting using Deep Learning.

[BibT_eX]

[DOI]

CoRR, 2024

2023

LASSO regularization within the LocalGLMnet architecture.

[BibT_eX]

[DOI]

Adv. Data Anal. Classif., December, 2023

Conditional expectation network for SHAP.

[BibT_eX]

[DOI]

CoRR, 2023

Smoothness and monotonicity constraints for neural networks using ICEnet.

[BibT_eX]

[DOI]

CoRR, 2023

2022

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

[BibT_eX]

[DOI]

Data Min. Knowl. Discov., 2022

A Discussion of Discrimination and Fairness in Insurance Pricing.

[BibT_eX]

[DOI]

CoRR, 2022

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

[BibT_eX]

[DOI]

CoRR, 2022

2021

LocalGLMnet: interpretable deep learning for tabular data.

[BibT_eX]

[DOI]