5 citations · 5 across the 4 of their papers we have counts for
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cs.IR2022
Fast Offline Policy Optimization for Large Scale Recommendation
Otmane Sakhi, David Rohde, Alexandre Gilotte
Personalised interactive systems such as recommender systems require selecting relevant items from massive catalogs dependent on context. Reward-driven offline optimisation of thes…
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…