Olivier Jeunen

According to our database, Olivier Jeunen authored at least 32 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Learning Metrics that Maximise Power for Accelerated A/B-Tests.

Olivier Jeunen, Aleksei Ustimenko

CoRR, 2024

Ad-load Balancing via Off-policy Learning in a Content Marketplace.

Hitesh Sagtani, Madan Gopal Jhawar, Rishabh Mehrotra, Olivier Jeunen

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

Practical Bandits: An Industry Perspective.

Bram van den Akker, Olivier Jeunen, Ying Li, Ben London, Zahra Nazari, Devesh Parekh

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

Learning-to-Rank with Nested Feedback.

Hitesh Sagtani, Olivier Jeunen, Aleksei Ustimenko

Proceedings of the Advances in Information Retrieval, 2024

Variance Reduction in Ratio Metrics for Efficient Online Experiments.

Shubham Baweja, Neeti Pokharna, Aleksei Ustimenko, Olivier Jeunen

Proceedings of the Advances in Information Retrieval, 2024

2023

A Common Misassumption in Online Experiments with Machine Learning Models.

Olivier Jeunen

SIGIR Forum, June, 2023

Pessimistic Decision-Making for Recommender Systems.

Olivier Jeunen, Bart Goethals

Trans. Recomm. Syst., March, 2023

Offline Recommender System Evaluation under Unobserved Confounding.

Olivier Jeunen, Ben London

CoRR, 2023

On (Normalised) Discounted Cumulative Gain as an Offline Evaluation Metric for Top-n Recommendation.

Olivier Jeunen, Ivan Potapov, Aleksei Ustimenko

CoRR, 2023

RecFusion: A Binomial Diffusion Process for 1D Data for Recommendation.

Gabriel Bénédict, Olivier Jeunen, Samuele Papa, Samarth Bhargav, Daan Odijk, Maarten de Rijke

CoRR, 2023

Tutorials at The Web Conference 2023.

Valeria Fionda, Olaf Hartig, Reyhaneh Abdolazimi, Sihem Amer-Yahia, Hongzhi Chen, Xiao Chen, Peng Cui, Jeffrey Dalton, Xin Luna Dong, Lisette Espín-Noboa, Wenqi Fan, Manuela Fritz, Quan Gan, Jingtong Gao, Xiaojie Guo, Torsten Hahmann, Jiawei Han, Soyeon Caren Han, Estevam Hruschka, Liang Hu, Jiaxin Huang, Utkarshani Jaimini, Olivier Jeunen, Yushan Jiang, Fariba Karimi, George Karypis, Krishnaram Kenthapadi, Himabindu Lakkaraju, Hady W. Lauw, Thai Le, Trung-Hoang Le, Dongwon Lee, Geon Lee, Liat Levontin, Cheng-Te Li, Haoyang Li, Ying Li, Jay Chiehen Liao, Qidong Liu, Usha Lokala, Ben London, Siqu Long, Hande Küçük-McGinty, Yu Meng, Seungwhan Moon, Usman Naseem, Pradeep Natarajan, Behrooz Omidvar-Tehrani, Zijie Pan, Devesh Parekh, Jian Pei, Tiago Peixoto, Steven Pemberton, Josiah Poon, Filip Radlinski, Federico Rossetto, Kaushik Roy, Aghiles Salah, Mehrnoosh Sameki, Amit P. Sheth, Cogan Shimizu, Kijung Shin, Dongjin Song, Julia Stoyanovich, Dacheng Tao, Johanne Trippas, Quoc Truong, Yu-Che Tsai, Adaku Uchendu, Bram van den Akker, Lin Wang, Minjie Wang, Shoujin Wang, Xin Wang, Ingmar Weber, Henry Weld, Lingfei Wu, Da Xu, Yifan Ethan Xu, Shuyuan Xu, Bo Yang, Ke Yang, Elad Yom-Tov, Jaemin Yoo, Zhou Yu, Reza Zafarani, Hamed Zamani, Meike Zehlike, Qi Zhang, Xikun Zhang, Yongfeng Zhang, Yu Zhang, Zheng Zhang, Liang Zhao, Xiangyu Zhao, Wenwu Zhu

Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

CONSEQUENCES - The 2nd Workshop on Causality, Counterfactuals and Sequential Decision-Making for Recommender Systems.

Olivier Jeunen, Thorsten Joachims, Harrie Oosterhuis, Yuta Saito, Flavian Vasile, Yixin Wang

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

A Probabilistic Position Bias Model for Short-Video Recommendation Feeds.

Olivier Jeunen

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Abstract: A Common Misassumption in Online Experiments with Machine Learning Models.

Olivier Jeunen

Proceedings of the 3rd Workshop Perspectives on the Evaluation of Recommender Systems 2023 co-located with the 17th ACM Conference on Recommender Systems (RecSys 2023), 2023

Off-Policy Learning-to-Bid with AuctionGym.

Olivier Jeunen, Sean Murphy, Ben Allison

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

On Gradient Boosted Decision Trees and Neural Rankers: A Case-Study on Short-Video Recommendations at ShareChat.

Olivier Jeunen, Hitesh Sagtani, Himanshu Doi, Rasul Karimov, Neeti Pokharna, Danish Kalim, Aleksei Ustimenko, Christopher Green, Rishabh Mehrotra, Wenzhe Shi

Proceedings of the 15th Annual Meeting of the Forum for Information Retrieval Evaluation, 2023

2022

Embarrassingly shallow auto-encoders for dynamic collaborative filtering.

Olivier Jeunen, Jan Van Balen, Bart Goethals

User Model. User Adapt. Interact., 2022

Offline Evaluation of Reward-Optimizing Recommender Systems: The Case of Simulation.

Imad Aouali, Amine Benhalloum, Martin Bompaire, Benjamin Heymann, Olivier Jeunen, David Rohde, Otmane Sakhi, Flavian Vasile

CoRR, 2022

CONSEQUENCES - Causality, Counterfactuals and Sequential Decision-Making for Recommender Systems.

Olivier Jeunen, Thorsten Joachims, Harrie Oosterhuis, Yuta Saito, Flavian Vasile

Proceedings of the RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18, 2022

Disentangling Causal Effects from Sets of Interventions in the Presence of Unobserved Confounders.

Olivier Jeunen, Ciarán M. Gilligan-Lee, Rishabh Mehrotra, Mounia Lalmas

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Offline approaches to recommendation with online success

Olivier Jeunen

PhD thesis, 2021

Top-K Contextual Bandits with Equity of Exposure.

Olivier Jeunen, Bart Goethals

Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 2021

Pessimistic Reward Models for Off-Policy Learning in Recommendation.

Olivier Jeunen, Bart Goethals

Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 2021

2020

A Gentle Introduction to Recommendation as Counterfactual Policy Learning.

Flavian Vasile, David Rohde, Olivier Jeunen, Amine Benhalloum

Proceedings of the 28th ACM Conference on User Modeling, Adaptation and Personalization, 2020

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

Olivier Jeunen, Jan Van Balen, Bart Goethals

Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

Joint Policy-Value Learning for Recommendation.

Olivier Jeunen, David Rohde, Flavian Vasile, Martin Bompaire

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

2019

Learning from Bandit Feedback: An Overview of the State-of-the-art.

Olivier Jeunen, Dmytro Mykhaylov, David Rohde, Flavian Vasile, Alexandre Gilotte, Martin Bompaire

CoRR, 2019

On the Value of Bandit Feedback for Offline Recommender System Evaluation.

Olivier Jeunen, David Rohde, Flavian Vasile

CoRR, 2019

Interactive evaluation of recommender systems with SNIPER: an episode mining approach.

Sandy Moens, Olivier Jeunen, Bart Goethals

Proceedings of the 13th ACM Conference on Recommender Systems, 2019

Efficient similarity computation for collaborative filtering in dynamic environments.

Olivier Jeunen, Koen Verstrepen, Bart Goethals

Proceedings of the 13th ACM Conference on Recommender Systems, 2019

Revisiting offline evaluation for implicit-feedback recommender systems.

Olivier Jeunen

Proceedings of the 13th ACM Conference on Recommender Systems, 2019

2018

A Machine Learning Approach for IEEE 802.11 Channel Allocation.

Olivier Jeunen, Patrick Bosch, Michiel Van Herwegen, Karel Van Doorselaer, Nick Godman, Steven Latré

Proceedings of the 14th International Conference on Network and Service Management, 2018