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Olivier Jeunen
Olivier Jeunen
Postdoctoral Scientist, Amazon
Verified email at amazon.com - Homepage
Title
Cited by
Cited by
Year
Revisiting Offline Evaluation for Implicit-Feedback Recommender Systems
O Jeunen
Proceedings of the 13th ACM Conference on Recommender Systems (RecSys '19), 2019
222019
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
162020
Fair Offline Evaluation Methodologies for Implicit-Feedback Recommender Systems with MNAR Data
O Jeunen, K Verstrepen, B Goethals
REVEAL Workshop at RecSys '18, 2018
162018
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
122018
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
102021
On the Value of Bandit Feedback for Offline Recommender System Evaluation
O Jeunen, D Rohde, F Vasile
REVEAL Workshop at RecSys '19, 2019
102019
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
92019
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
82020
Three Methods for Training on Bandit Feedback
D Mykhaylov, D Rohde, F Vasile, M Bompaire, O Jeunen
CausalML Workshop at NeurIPS '19, 2019
62019
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
62019
Top-𝐾 Contextual Bandits with Equity of Exposure
O Jeunen, B Goethals
Proceedings of the 15th ACM Conference on Recommender Systems (RecSys '21), 2021
5*2021
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
52020
An Empirical Evaluation of Doubly Robust Learning for Recommendation
O Jeunen, B Goethals
REVEAL Workshop at RecSys '20, 2020
32020
Interactive Evaluation of Recommender Systems with SNIPER - An Episode Mining Approach
S Moens, O Jeunen, Goethals, Bart
Proceedings of the 13th ACM Conference on Recommender Systems (RecSys '19), 2019
32019
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
2*2021
Learning to Bid with AuctionGym
O Jeunen, S Murphy, B Allison
AdKDD Workshop at KDD '22, 2022
2022
Embarrassingly shallow auto-encoders for dynamic collaborative filtering
O Jeunen, J Van Balen, B Goethals
User Modeling and User-Adapted Interaction, 1-33, 2022
2022
Disentangling Causal Effects from Sets of Interventions in the Presence of Unobserved Confounders
O Jeunen, CM Gilligan-Lee, R Mehrotra, M Lalmas
"Causal Inference & Machine Learning: Why now?" workshop at NeurIPS '21, 2021
2021
Offline Approaches to Recommendation with Online Success
O Jeunen
University of Antwerp, 2021
2021
RECSYS 2021-15TH ACM CONFERENCE ON RECOMMENDER SYSTEMS
H Steck, D Liang, F Wilhelm, O Jeunen, B Goethals, M Sato, A Salah, ...
MATRIX 34 (43), 0, 2021
2021
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