| Revisiting Offline Evaluation for Implicit-Feedback Recommender Systems O Jeunen Proceedings of the 13th ACM Conference on Recommender Systems (RecSys '19), 2019 | 54 | 2019 |
| Pessimistic Reward Models for Off-Policy Learning in Recommendation O Jeunen, B Goethals Proceedings of the 15th ACM Conference on Recommender Systems (RecSys '21), 2021 | 40 | 2021 |
| Joint Policy-Value Learning for Recommendation O Jeunen, D Rohde, F Vasile, M Bompaire Proceedings of the 26th ACM SIGKDD Conference on Knowledge Discovery and …, 2020 | 30 | 2020 |
| Fair Offline Evaluation Methodologies for Implicit-Feedback Recommender Systems with MNAR Data O Jeunen, K Verstrepen, B Goethals REVEAL Workshop at RecSys '18, 2018 | 28 | 2018 |
| A Machine Learning Approach for IEEE 802.11 Channel Allocation O Jeunen, P Bosch, M Van Herwegen, K Van Doorselaer, N Godman, ... Proceedings of the 14th International Conference on Network and Service …, 2018 | 21 | 2018 |
| Top-𝐾 Contextual Bandits with Equity of Exposure O Jeunen, B Goethals Proceedings of the 15th ACM Conference on Recommender Systems (RecSys '21), 2021 | 20* | 2021 |
| On the Value of Bandit Feedback for Offline Recommender System Evaluation O Jeunen, D Rohde, F Vasile REVEAL Workshop at RecSys '19, 2019 | 17 | 2019 |
| Learning from Bandit Feedback: An Overview of the State-of-the-art O Jeunen, D Mykhaylov, D Rohde, F Vasile, A Gilotte, M Bompaire REVEAL Workshop at RecSys '19, 2019 | 15 | 2019 |
| Closed-Form Models for Collaborative Filtering with Side-Information O Jeunen, J Van Balen, B Goethals Proceedings of the 14th ACM Conference on Recommender Systems (RecSys '20 …, 2020 | 14 | 2020 |
| A Gentle Introduction to Recommendation as Counterfactual Policy Learning F Vasile, D Rohde, O Jeunen, A Benhalloum Proceedings of the 28th ACM Conference on User Modeling, Adaptation and …, 2020 | 13 | 2020 |
| Efficient Similarity Computation for Collaborative Filtering in Dynamic Environments O Jeunen, K Verstrepen, B Goethals Proceedings of the 13th ACM Conference on Recommender Systems (RecSys '19), 2019 | 12 | 2019 |
| Pessimistic decision-making for recommender systems O Jeunen, B Goethals ACM Transactions on Recommender Systems 1 (1), 1-27, 2023 | 11 | 2023 |
| Three Methods for Training on Bandit Feedback D Mykhaylov, D Rohde, F Vasile, M Bompaire, O Jeunen CausalML Workshop at NeurIPS '19, 2019 | 10 | 2019 |
| Offline Approaches to Recommendation with Online Success O Jeunen University of Antwerp, 2021 | 9 | 2021 |
| Learning to Bid with AuctionGym O Jeunen, S Murphy, B Allison AdKDD Workshop at KDD '22, 2022 | 8 | 2022 |
| An Empirical Evaluation of Doubly Robust Learning for Recommendation O Jeunen, B Goethals REVEAL Workshop at RecSys '20, 2020 | 8 | 2020 |
| Embarrassingly shallow auto-encoders for dynamic collaborative filtering O Jeunen, J Van Balen, B Goethals User Modeling and User-Adapted Interaction 32 (4), 509-541, 2022 | 7 | 2022 |
| Recommender Systems through the Lens of Decision Theory F Vasile, D Rohde, O Jeunen, A Benhalloum, O Sakhi Companion Proceedings of the Web Conference (WWW '21), 727-733, 2021 | 7* | 2021 |
| A Probabilistic Position Bias Model for Short-Video Recommendation Feeds O Jeunen Proceedings of the 17th ACM Conference on Recommender Systems (RecSys '23), 2023 | 6 | 2023 |
| CONSEQUENCES—Causality, Counterfactuals and Sequential Decision-Making for Recommender Systems O Jeunen, T Joachims, H Oosterhuis, Y Saito, F Vasile Proceedings of the 16th ACM Conference on Recommender Systems, 654-657, 2022 | 6 | 2022 |
Bart GoethalsProfessor of Computer Science, University of AntwerpVerified email at uantwerpen.be
