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Olivier Jeunen
Olivier Jeunen
Principal Research Scientist, Aampe
Dirección de correo verificada de aampe.com - Página principal
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Revisiting Offline Evaluation for Implicit-Feedback Recommender Systems
O Jeunen
Proceedings of the 13th ACM Conference on Recommender Systems (RecSys '19), 2019
652019
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
522021
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
342020
Top-𝐾 Contextual Bandits with Equity of Exposure
O Jeunen, B Goethals
Proceedings of the 15th ACM Conference on Recommender Systems (RecSys '21), 2021
32*2021
Fair Offline Evaluation Methodologies for Implicit-Feedback Recommender Systems with MNAR Data
O Jeunen, K Verstrepen, B Goethals
REVEAL Workshop at RecSys '18, 2018
322018
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
262018
On the Value of Bandit Feedback for Offline Recommender System Evaluation
O Jeunen, D Rohde, F Vasile
REVEAL Workshop at RecSys '19, 2019
182019
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
172020
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
172019
Pessimistic decision-making for recommender systems
O Jeunen, B Goethals
ACM Transactions on Recommender Systems 1 (1), 1-27, 2023
162023
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
162020
Offline Approaches to Recommendation with Online Success
O Jeunen
University of Antwerp, 2021
132021
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
132019
On (Normalised) Discounted Cumulative Gain as an Off-Policy Evaluation Metric for Top- Recommendation
O Jeunen, I Potapov, A Ustimenko
KDD '24, 2023
122023
A Probabilistic Position Bias Model for Short-Video Recommendation Feeds
O Jeunen
Proceedings of the 17th ACM Conference on Recommender Systems (RecSys '23), 2023
122023
A Common Misassumption in Online Experiments with Machine Learning Models
O Jeunen
ACM SIGIR Forum 57 (1), 1-9, 2023
122023
Learning to Bid with AuctionGym
O Jeunen, S Murphy, B Allison
AdKDD Workshop at KDD '22, 2022
112022
An Empirical Evaluation of Doubly Robust Learning for Recommendation
O Jeunen, B Goethals
REVEAL Workshop at RecSys '20, 2020
112020
Disentangling Causal Effects from Sets of Interventions in the Presence of Unobserved Confounders
O Jeunen, CM Gilligan-Lee, R Mehrotra, M Lalmas
NeurIPS '22, 2022
102022
Three Methods for Training on Bandit Feedback
D Mykhaylov, D Rohde, F Vasile, M Bompaire, O Jeunen
CausalML Workshop at NeurIPS '19, 2019
102019
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Artículos 1–20