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Paolo Cremonesi

2 accepted papers

2022

Off-Policy Evaluation with Deficient Support Using Side Information

NeurIPS 2022accept

The Off-Policy Evaluation (OPE) problem consists in evaluating the performance of new policies from the data collected by another one. OPE is crucial when evaluating a new policy online is too expensive or risky. Many of the state-of-the-art OPE estimators are based on the Inverse Propensity Scoring…

Cited by 13SourcePDFScholar
2020

Methodological Issues in Recommender Systems Research (Extended Abstract)

IJCAI 2020poster

The development of continuously improved machine learning algorithms for personalized item ranking lies at the core of today's research in the area of recommender systems. Over the years, the research community has developed widely-agreed best practices for comparing algorithms and demonstrating pr…