Olivier Jeunen

68 papers A* 6A 22B 1Journal 31Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Additive Control Variates Dominate Self-Normalisation in Off-Policy Evaluation. CoRR Olivier Jeunen, Shashank Gupta
2026	—	`conf`	Behavioural Effects of Agentic Messaging - A Case Study on a Financial Service Application. ECIR (4) Olivier Jeunen, Schaun Wheeler
2026	J	`jnl`	Unifying On- and Off-Policy Variance Reduction Methods. CoRR Olivier Jeunen
2025	A	`conf`	Agentic Personalisation of Cross-Channel Marketing Experiences. RecSys Sami Abboud, Eleanor Hanna, Olivier Jeunen, Vineesha Raheja, Schaun Wheeler
2025	J	`jnl`	Agentic Personalisation of Cross-Channel Marketing Experiences. CoRR Sami Abboud, Eleanor Hanna, Olivier Jeunen, Vineesha Raheja, Schaun Wheeler
2025	J	`jnl`	Behavioural Effects of Agentic Messaging: A Case Study on a Financial Service Application. CoRR Olivier Jeunen, Schaun Wheeler
2025	A	`conf`	CONSEQUENCES 2025 - The 4th Workshop on Causality, Counterfactuals and Sequential Decision-Making for Recommender Systems. RecSys Harrie Oosterhuis, Olivier Jeunen, Yuta Saito, Yixin Wang, Flavian Vasile, Thorsten Joachims
2025	A	`conf`	Counterfactual Inference under Thompson Sampling. RecSys Olivier Jeunen
2025	J	`jnl`	Counterfactual Inference under Thompson Sampling. CoRR Olivier Jeunen
2025	A	`conf`	Meta Off-Policy Estimation. RecSys Olivier Jeunen
2025	J	`jnl`	Meta Off-Policy Estimation. CoRR Olivier Jeunen
2025	—	`conf`	Procedural Memory Is Not All You Need: Bridging Cognitive Gaps in LLM-Based Agents. UMAP (Adjunct Publication) Schaun Wheeler, Olivier Jeunen
2025	J	`jnl`	Procedural Memory Is Not All You Need: Bridging Cognitive Gaps in LLM-Based Agents. CoRR Schaun Wheeler, Olivier Jeunen
2025	A	`ed.`	Proceedings of the Nineteenth ACM Conference on Recommender Systems, RecSys 2025, Prague, Czech Republic, September 22-26, 2025 RecSys Mária Bieliková, Pavel Kordík, Markus Schedl, Marco de Gemmis, Sole Pera, Rodrigo Alves, Olivier Jeunen, Vito Ostuni
2024	J	`jnl`	A Simple Model to Estimate Sharing Effects in Social Networks. CoRR Olivier Jeunen
2024	A	`conf`	Ad-load Balancing via Off-policy Learning in a Content Marketplace. WSDM Hitesh Sagtani, Madan Gopal Jhawar, Rishabh Mehrotra, Olivier Jeunen
2024	A	`conf`	CONSEQUENCES - The 3rd Workshop on Causality, Counterfactuals and Sequential Decision-Making for Recommender Systems. RecSys Olivier Jeunen, Harrie Oosterhuis, Yuta Saito, Flavian Vasile, Yixin Wang
2024	A*	`conf`	Learning Metrics that Maximise Power for Accelerated A/B-Tests. KDD Olivier Jeunen, Aleksei Ustimenko
2024	J	`jnl`	Learning Metrics that Maximise Power for Accelerated A/B-Tests. CoRR Olivier Jeunen, Aleksei Ustimenko
2024	—	`conf`	Learning-to-Rank with Nested Feedback. ECIR (3) Hitesh Sagtani, Olivier Jeunen, Aleksei Ustimenko
2024	J	`jnl`	Learning-to-Rank with Nested Feedback. CoRR Hitesh Sagtani, Olivier Jeunen, Aleksei Ustimenko
2024	A*	`conf`	Monitoring the Evolution of Behavioural Embeddings in Social Media Recommendation. SIGIR Srijan Saket, Olivier Jeunen, Md. Danish Kalim
2024	A	`conf`	Multi-Objective Recommendation via Multivariate Policy Learning. RecSys Olivier Jeunen, Jatin Mandav, Ivan Potapov, Nakul Agarwal, Sourabh Vaid, Wenzhe Shi, Aleksei Ustimenko
2024	J	`jnl`	Multi-Objective Recommendation via Multivariate Policy Learning. CoRR Olivier Jeunen, Jatin Mandav, Ivan Potapov, Nakul Agarwal, Sourabh Vaid, Wenzhe Shi, Aleksei Ustimenko
2024	A*	`conf`	On (Normalised) Discounted Cumulative Gain as an Off-Policy Evaluation Metric for Top- KDD Olivier Jeunen, Ivan Potapov, Aleksei Ustimenko
2024	A	`conf`	Optimal Baseline Corrections for Off-Policy Contextual Bandits. RecSys Shashank Gupta, Olivier Jeunen, Harrie Oosterhuis, Maarten de Rijke
2024	J	`jnl`	Optimal Baseline Corrections for Off-Policy Contextual Bandits. CoRR Shashank Gupta, Olivier Jeunen, Harrie Oosterhuis, Maarten de Rijke
2024	A	`conf`	Powerful A/B-Testing Metrics and Where to Find Them. RecSys Olivier Jeunen, Shubham Baweja, Neeti Pokharna, Aleksei Ustimenko
2024	J	`jnl`	Powerful A/B-Testing Metrics and Where to Find Them. CoRR Olivier Jeunen, Shubham Baweja, Neeti Pokharna, Aleksei Ustimenko
2024	A	`conf`	Practical Bandits: An Industry Perspective. WSDM Bram van den Akker, Olivier Jeunen, Ying Li, Ben London, Zahra Nazari, Devesh Parekh
2024	—	`conf`	Variance Reduction in Ratio Metrics for Efficient Online Experiments. ECIR (5) Shubham Baweja, Neeti Pokharna, Aleksei Ustimenko, Olivier Jeunen
2024	J	`jnl`	Variance Reduction in Ratio Metrics for Efficient Online Experiments. CoRR Shubham Baweja, Neeti Pokharna, Aleksei Ustimenko, Olivier Jeunen
2024	A	`conf`	Δ-OPE: Off-Policy Estimation with Pairs of Policies. RecSys Olivier Jeunen, Aleksei Ustimenko
2024	J	`jnl`	Δ-OPE: Off-Policy Estimation with Pairs of Policies. CoRR Olivier Jeunen, Aleksei Ustimenko
2023	J	`jnl`	A Common Misassumption in Online Experiments with Machine Learning Models. CoRR Olivier Jeunen
2023	J	`jnl`	A Common Misassumption in Online Experiments with Machine Learning Models. SIGIR Forum Olivier Jeunen
2023	A	`conf`	A Probabilistic Position Bias Model for Short-Video Recommendation Feeds. RecSys Olivier Jeunen
2023	J	`jnl`	A Probabilistic Position Bias Model for Short-Video Recommendation Feeds. CoRR Olivier Jeunen
2023	—	`conf`	Abstract: A Common Misassumption in Online Experiments with Machine Learning Models. Perspectives@RecSys Olivier Jeunen
2023	J	`jnl`	Ad-load Balancing via Off-policy Learning in a Content Marketplace. CoRR Hitesh Sagtani, Madan Gopal Jhawar, Rishabh Mehrotra, Olivier Jeunen
2023	A	`conf`	CONSEQUENCES - The 2nd Workshop on Causality, Counterfactuals and Sequential Decision-Making for Recommender Systems. RecSys Olivier Jeunen, Thorsten Joachims, Harrie Oosterhuis, Yuta Saito, Flavian Vasile, Yixin Wang
2023	J	`jnl`	Monitoring the Evolution of Behavioural Embeddings in Social Media Recommendation. CoRR Srijan Saket, Olivier Jeunen, Md. Danish Kalim
2023	A*	`conf`	Off-Policy Learning-to-Bid with AuctionGym. KDD Olivier Jeunen, Sean Murphy, Ben Allison
2023	J	`jnl`	Offline Recommender System Evaluation under Unobserved Confounding. CoRR Olivier Jeunen, Ben London
2023	J	`jnl`	On (Normalised) Discounted Cumulative Gain as an Offline Evaluation Metric for Top-n Recommendation. CoRR Olivier Jeunen, Ivan Potapov, Aleksei Ustimenko
2023	—	`conf`	On Gradient Boosted Decision Trees and Neural Rankers: A Case-Study on Short-Video Recommendations at ShareChat. FIRE Olivier Jeunen, Hitesh Sagtani, Himanshu Doi, Rasul Karimov, Neeti Pokharna, Md. Danish Kalim, Aleksei Ustimenko, Christopher Green, Rishabh Mehrotra, Wenzhe Shi
2023	J	`jnl`	On Gradient Boosted Decision Trees and Neural Rankers: A Case-Study on Short-Video Recommendations at ShareChat. CoRR Olivier Jeunen, Hitesh Sagtani, Himanshu Doi, Rasul Karimov, Neeti Pokharna, Md. Danish Kalim, Aleksei Ustimenko, Christopher Green, Wenzhe Shi, Rishabh Mehrotra
2023	J	`jnl`	Pessimistic Decision-Making for Recommender Systems. Trans. Recomm. Syst. Olivier Jeunen, Bart Goethals
2023	J	`jnl`	Practical Bandits: An Industry Perspective. CoRR Bram van den Akker, Olivier Jeunen, Ying Li, Ben London, Zahra Nazari, Devesh Parekh
2023	J	`jnl`	RecFusion: A Binomial Diffusion Process for 1D Data for Recommendation. CoRR Gabriel Bénédict, Olivier Jeunen, Samuele Papa, Samarth Bhargav, Daan Odijk, Maarten de Rijke
2023	—	`conf`	Tutorials at The Web Conference 2023. WWW (Companion Volume) 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 R. 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
2022	A	`conf`	CONSEQUENCES - Causality, Counterfactuals and Sequential Decision-Making for Recommender Systems. RecSys Olivier Jeunen, Thorsten Joachims, Harrie Oosterhuis, Yuta Saito, Flavian Vasile
2022	A*	`conf`	Disentangling Causal Effects from Sets of Interventions in the Presence of Unobserved Confounders. NeurIPS Olivier Jeunen, Ciarán M. Gilligan-Lee, Rishabh Mehrotra, Mounia Lalmas
2022	J	`jnl`	Disentangling Causal Effects from Sets of Interventions in the Presence of Unobserved Confounders. CoRR Olivier Jeunen, Ciarán M. Gilligan-Lee, Rishabh Mehrotra, Mounia Lalmas
2022	J	`jnl`	Embarrassingly shallow auto-encoders for dynamic collaborative filtering. User Model. User Adapt. Interact. Olivier Jeunen, Jan Van Balen, Bart Goethals
2022	J	`jnl`	Offline Evaluation of Reward-Optimizing Recommender Systems: The Case of Simulation. CoRR Imad Aouali, Amine Benhalloum, Martin Bompaire, Benjamin Heymann, Olivier Jeunen, David Rohde, Otmane Sakhi, Flavian Vasile
2021	—	`—`	Offline approaches to recommendation with online success Olivier Jeunen
2021	A	`conf`	Pessimistic Reward Models for Off-Policy Learning in Recommendation. RecSys Olivier Jeunen, Bart Goethals
2021	A	`conf`	Top-K Contextual Bandits with Equity of Exposure. RecSys Olivier Jeunen, Bart Goethals
2020	A	`conf`	A Gentle Introduction to Recommendation as Counterfactual Policy Learning. UMAP Flavian Vasile, David Rohde, Olivier Jeunen, Amine Benhalloum
2020	A	`conf`	Closed-Form Models for Collaborative Filtering with Side-Information. RecSys Olivier Jeunen, Jan Van Balen, Bart Goethals
2020	A*	`conf`	Joint Policy-Value Learning for Recommendation. KDD Olivier Jeunen, David Rohde, Flavian Vasile, Martin Bompaire
2019	A	`conf`	Efficient similarity computation for collaborative filtering in dynamic environments. RecSys Olivier Jeunen, Koen Verstrepen, Bart Goethals
2019	A	`conf`	Interactive evaluation of recommender systems with SNIPER: an episode mining approach. RecSys Sandy Moens, Olivier Jeunen, Bart Goethals
2019	J	`jnl`	Learning from Bandit Feedback: An Overview of the State-of-the-art. CoRR Olivier Jeunen, Dmytro Mykhaylov, David Rohde, Flavian Vasile, Alexandre Gilotte, Martin Bompaire
2019	J	`jnl`	On the Value of Bandit Feedback for Offline Recommender System Evaluation. CoRR Olivier Jeunen, David Rohde, Flavian Vasile
2019	A	`conf`	Revisiting offline evaluation for implicit-feedback recommender systems. RecSys Olivier Jeunen
2018	B	`conf`	A Machine Learning Approach for IEEE 802.11 Channel Allocation. CNSM Olivier Jeunen, Patrick Bosch, Michiel Van Herwegen, Karel Van Doorselaer, Nick Godman, Steven Latré