Mario V. Wüthrich

21 papers Journal 19

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Reinforcement Learning for Micro-Level Claims Reserving. CoRR Benjamin Avanzi, Ronald Richman, Bernard Wong, Mario V. Wüthrich, Yagebu Xie
2026	J	`jnl`	Tab-TRM: Tiny Recursive Model for Insurance Pricing on Tabular Data. CoRR Kishan Padayachy, Ronald Richman, Mario V. Wüthrich
2025	J	`jnl`	Gini Score under Ties and Case Weights. CoRR Alexej Brauer, Mario V. Wüthrich
2025	J	`jnl`	In-Context Learning Enhanced Credibility Transformer. CoRR Kishan Padayachy, Ronald Richman, Salvatore Scognamiglio, Mario V. Wüthrich
2025	J	`jnl`	Shapley Values: Paired-Sampling Approximations. CoRR Michael Mayer, Mario V. Wüthrich
2025	J	`jnl`	Tree-like Pairwise Interaction Networks. CoRR Ronald Richman, Salvatore Scognamiglio, Mario V. Wüthrich
2024	J	`jnl`	The Credibility Transformer. CoRR Ronald Richman, Salvatore Scognamiglio, Mario V. Wüthrich
2023	J	`jnl`	Conditional expectation network for SHAP. CoRR Ronald Richman, Mario V. Wüthrich
2023	J	`jnl`	Isotonic Recalibration under a Low Signal-to-Noise Ratio. CoRR Mario V. Wüthrich, Johanna Ziegel
2023	J	`jnl`	LASSO regularization within the LocalGLMnet architecture. Adv. Data Anal. Classif. Ronald Richman, Mario V. Wüthrich
2023	J	`jnl`	Smoothness and monotonicity constraints for neural networks using ICEnet. CoRR Ronald Richman, Mario V. Wüthrich
2022	J	`jnl`	A Discussion of Discrimination and Fairness in Insurance Pricing. CoRR Mathias Lindholm, Ronald Richman, Andreas Tsanakas, Mario V. Wüthrich
2022	J	`jnl`	A multi-task network approach for calculating discrimination-free insurance prices. CoRR Mathias Lindholm, Ronald Richman, Andreas Tsanakas, Mario V. Wüthrich
2022	J	`jnl`	Boosting Poisson regression models with telematics car driving data. Mach. Learn. Guangyuan Gao, He Wang, Mario V. Wüthrich
2022	J	`jnl`	Interpreting deep learning models with marginal attribution by conditioning on quantiles. Data Min. Knowl. Discov. Michael Merz, Ronald Richman, Andreas Tsanakas, Mario V. Wüthrich
2022	J	`jnl`	Model selection with Gini indices under auto-calibration. CoRR Mario V. Wüthrich
2021	J	`jnl`	Interpreting Deep Learning Models with Marginal Attribution by Conditioning on Quantiles. CoRR Michael Merz, Ronald Richman, Andreas Tsanakas, Mario V. Wüthrich
2021	J	`jnl`	LocalGLMnet: interpretable deep learning for tabular data. CoRR Ronald Richman, Mario V. Wüthrich
2017	J	`jnl`	Construction of Directed Assortative Configuration Graphs. Internet Math. Philippe Deprez, Mario V. Wüthrich
2017	—	`ch.`	Sequential Monte Carlo Sampling for State Space Models. Robustness in Econometrics Mario V. Wüthrich
2016	—	`ch.`	Consistent Re-Calibration in Yield Curve Modeling: An Example. Causal Inference in Econometrics Mario V. Wüthrich