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Closed-Form Models for Collaborative Filtering with Side-Information.

, , and . RecSys, page 651-656. ACM, (2020)

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Offline approaches to recommendation with online success. University of Antwerp, Belgium, (2021)Abstract: A Common Misassumption in Online Experiments with Machine Learning Models.. Perspectives@RecSys, volume 3476 of CEUR Workshop Proceedings, CEUR-WS.org, (2023)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)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)CONSEQUENCES - Causality, Counterfactuals and Sequential Decision-Making for Recommender Systems., , , , and . RecSys, page 654-657. ACM, (2022)CONSEQUENCES - The 2nd Workshop on Causality, Counterfactuals and Sequential Decision-Making for Recommender Systems., , , , , and . RecSys, page 1223-1226. ACM, (2023)Monitoring the Evolution of Behavioural Embeddings in Social Media Recommendation., , and . SIGIR, page 2935-2939. ACM, (2024)Revisiting offline evaluation for implicit-feedback recommender systems.. RecSys, page 596-600. ACM, (2019)Disentangling Causal Effects from Sets of Interventions in the Presence of Unobserved Confounders., , , and . NeurIPS, (2022)