3 papers
cs.AI2026
Continual learning and refinement of causal models through dynamic predicate invention
Enrique Crespo-Fernandez, Oliver Ray, Telmo de Menezes e Silva Filho +1
Efficiently navigating complex environments requires agents to internalize the underlying logic of their world, yet standard world modelling methods often struggle with sample inef…
cs.LG2025
Evaluating utility of clinical prediction models: A comparison of decision curve analysis and cost curves
Louise AC Millard, Matthew Sperrin, Peter A Flach +1
Classification models typically predict a binary outcome and use one or more decision thresholds to produce a classification or inform a clinical decision. Decision curves and cost…
cs.LG2024
Explaining a probabilistic prediction on the simplex with Shapley compositions
Paul-Gauthier Noé, Miquel Perelló-Nieto, Jean-François Bonastre +1
Originating in game theory, Shapley values are widely used for explaining a machine learning model's prediction by quantifying the contribution of each feature's value to the predi…