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Olivier Jeunen

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$Δ\text{-}{\rm OPE}$: Off-Policy Estimation with Pairs of Policies

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May 16, 2024
Olivier Jeunen, Aleksei Ustimenko

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Optimal Baseline Corrections for Off-Policy Contextual Bandits

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May 09, 2024
Shashank Gupta, Olivier Jeunen, Harrie Oosterhuis, Maarten de Rijke

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Multi-Objective Recommendation via Multivariate Policy Learning

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May 03, 2024
Olivier Jeunen, Jatin Mandav, Ivan Potapov, Nakul Agarwal, Sourabh Vaid, Wenzhe Shi, Aleksei Ustimenko

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Learning Metrics that Maximise Power for Accelerated A/B-Tests

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Feb 06, 2024
Olivier Jeunen, Aleksei Ustimenko

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Variance Reduction in Ratio Metrics for Efficient Online Experiments

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Jan 08, 2024
Shubham Baweja, Neeti Pokharna, Aleksei Ustimenko, Olivier Jeunen

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Learning-to-Rank with Nested Feedback

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Jan 08, 2024
Hitesh Sagtani, Olivier Jeunen, Aleksei Ustimenko

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On Gradient Boosted Decision Trees and Neural Rankers: A Case-Study on Short-Video Recommendations at ShareChat

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Dec 04, 2023
Olivier Jeunen, Hitesh Sagtani, Himanshu Doi, Rasul Karimov, Neeti Pokharna, Danish Kalim, Aleksei Ustimenko, Christopher Green, Wenzhe Shi, Rishabh Mehrotra

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Ad-load Balancing via Off-policy Learning in a Content Marketplace

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Sep 19, 2023
Hitesh Sagtani, Madan Jhawar, Rishabh Mehrotra, Olivier Jeunen

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Offline Recommender System Evaluation under Unobserved Confounding

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Sep 08, 2023
Olivier Jeunen, Ben London

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On (Normalised) Discounted Cumulative Gain as an Offline Evaluation Metric for Top-$n$ Recommendation

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Jul 27, 2023
Olivier Jeunen, Ivan Potapov, Aleksei Ustimenko

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