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On Gradient Boosted Decision Trees and Neural Rankers: A Case-Study on Short-Video Recommendations at ShareChat., , , , , , , , , and . FIRE, page 136-141. ACM, (2023)Abstract: A Common Misassumption in Online Experiments with Machine Learning Models.. Perspectives@RecSys, volume 3476 of CEUR Workshop Proceedings, CEUR-WS.org, (2023)Offline approaches to recommendation with online success. University of Antwerp, Belgium, (2021)Closed-Form Models for Collaborative Filtering with Side-Information., , and . RecSys, page 651-656. ACM, (2020)Off-Policy Learning-to-Bid with AuctionGym., , and . KDD, page 4219-4228. ACM, (2023)CONSEQUENCES - The 2nd Workshop on Causality, Counterfactuals and Sequential Decision-Making for Recommender Systems., , , , , and . RecSys, page 1223-1226. ACM, (2023)CONSEQUENCES - Causality, Counterfactuals and Sequential Decision-Making for Recommender Systems., , , , and . RecSys, page 654-657. ACM, (2022)Variance Reduction in Ratio Metrics for Efficient Online Experiments., , , and . ECIR (5), volume 14612 of Lecture Notes in Computer Science, page 292-297. Springer, (2024)Learning Metrics that Maximise Power for Accelerated A/B-Tests., and . CoRR, (2024)Offline Evaluation of Reward-Optimizing Recommender Systems: The Case of Simulation., , , , , , , and . CoRR, (2022)