424 citations · 855 across the 27 of their papers we have counts for
3 papers · 1 filter
Variance-Optimal Off-Policy Evaluation with Conjunct Effect Modeling
Nicolò Felicioni, Michael Benigni, Maurizio Ferrari Dacrema +1
Off-policy evaluation (OPE) for contextual bandit policies becomes challenging when action-level importance weighting incurs excessive variance. Doubly robust (DR) estimation remai…
Automated Off-Policy Estimator Selection via Supervised Learning
Nicolò Felicioni, Michael Benigni, Maurizio Ferrari Dacrema
The Off-Policy Evaluation (OPE) problem consists of evaluating the performance of counterfactual policies with data collected by another one. To solve the OPE problem, we resort to…
A novel graph-based model for hybrid recommendations in cold-start scenarios
Cesare Bernardis, Maurizio Ferrari Dacrema, Paolo Cremonesi
Cold-start is a very common and still open problem in the Recommender Systems literature. Since cold start items do not have any interaction, collaborative algorithms are not appli…