2 citations · 3 across the 4 of their papers we have counts for
5 papers
Targeted Active Learning for Preference-Based Treatment Effects on Multivariate Outcomes
Lola Giordani, Mathieu Even, Chloé Geoffroy +3
Treatment efficacy is traditionally demonstrated on the basis of a single primary outcome. However, clinical decision-making usually requires consideration of multiple outcomes, ba…
Phylogenetic latent space models for network data
Federico Pavone, Daniele Durante, Robin J. Ryder
Latent space models for network data characterize each node through a vector of latent features whose pairwise similarities define the edge probabilities among the pairs of nodes.…
FairJob: A Real-World Dataset for Fairness in Online Systems
Mariia Vladimirova, Federico Pavone, Eustache Diemert
We introduce a fairness-aware dataset for job recommendations in advertising, designed to foster research in algorithmic fairness within real-world scenarios. It was collected and…
Learning and forecasting of age-specific period mortality via B-spline processes with locally-adaptive dynamic coefficients
Federico Pavone, Sirio Legramanti, Daniele Durante
Although the analysis of human mortality has a well-established history, the attempt to accurately forecast future death-rate patterns for different age groups and time horizons st…
Using reference models in variable selection
Federico Pavone, Juho Piironen, Paul-Christian Bürkner +1
Variable selection, or more generally, model reduction is an important aspect of the statistical workflow aiming to provide insights from data. In this paper, we discuss and demons…