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cs.LG2026
ParamBoost: Gradient Boosted Piecewise Cubic Polynomials
Nicolas Salvadé, Tim Hillel
Generalized Additive Models (GAMs) can be used to create non-linear glass-box (i.e. explicitly interpretable) models, where the predictive function is fully observable over the com…
cs.LG2024
RUMBoost: Gradient Boosted Random Utility Models
Nicolas Salvadé, Tim Hillel
This paper introduces the RUMBoost model, a novel discrete choice modelling approach that combines the interpretability and behavioural robustness of Random Utility Models (RUMs) w…