5 citations · 5 across the 4 of their papers we have counts for
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cs.IR2019★ 5 cited
Learning from Bandit Feedback: An Overview of the State-of-the-art
Olivier Jeunen, Dmytro Mykhaylov, David Rohde +3
In machine learning we often try to optimise a decision rule that would have worked well over a historical dataset; this is the so called empirical risk minimisation principle. In…
stat.ML2019
Ranking metrics on non-shuffled traffic
Alexandre Gilotte
Ranking metrics are a family of metrics largely used to evaluate recommender systems. However they typically suffer from the fact the reward is affected by the order in which recom…