3 papers
cs.AI2026
Partial Identification under Causal Orders by Linear Programming
Eric Rossetto, Alessandro Antonucci
Non-parametric (partial) identification of counterfactual queries typically relies on a fully specified causal graph. Motivated by settings with incomplete domain knowledge, we cha…
cs.LG2026
Automatic Causal Fairness Analysis with LLM-Generated Reporting
Alessia Berarducci, Eric Rossetto, Alessandro Antonucci +1
AutoML, intended as the process of automating the application of machine learning to real-world problems, is a key step for AI popularisation. Most AutoML frameworks are not accoun…
cs.LG2025
On the Correlation between Individual Fairness and Predictive Accuracy in Probabilistic Models
Alessandro Antonucci, Eric Rossetto, Ivan Duvnjak
We investigate individual fairness in generative probabilistic classifiers by analysing the robustness of posterior inferences to perturbations in private features. Building on est…