Olivier Jeunen

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 46

Top Topics

Collaborative Filtering

Discounted Cumulative Gain

Recommender Systems

Top Venues

Publications

Shubham Baweja, Neeti Pokharna, Aleksei Ustimenko, Olivier Jeunen
Variance Reduction in Ratio Metrics for Efficient Online Experiments. CoRR (2024)
Hitesh Sagtani, Olivier Jeunen, Aleksei Ustimenko
Learning-to-Rank with Nested Feedback. CoRR (2024)
Shashank Gupta, Olivier Jeunen, Harrie Oosterhuis, Maarten de Rijke
Optimal Baseline Corrections for Off-Policy Contextual Bandits. CoRR (2024)
Srijan Saket, Olivier Jeunen, Md. Danish Kalim
Monitoring the Evolution of Behavioural Embeddings in Social Media Recommendation. SIGIR (2024)
Hitesh Sagtani, Olivier Jeunen, Aleksei Ustimenko
Learning-to-Rank with Nested Feedback. ECIR (3) (2024)
Olivier Jeunen, Aleksei Ustimenko
Learning Metrics that Maximise Power for Accelerated A/B-Tests. CoRR (2024)
Olivier Jeunen, Ivan Potapov, Aleksei Ustimenko
Recommendation. KDD (2024)
Olivier Jeunen, Aleksei Ustimenko
Learning Metrics that Maximise Power for Accelerated A/B-Tests. KDD (2024)
Hitesh Sagtani, Madan Gopal Jhawar, Rishabh Mehrotra, Olivier Jeunen
Ad-load Balancing via Off-policy Learning in a Content Marketplace. WSDM (2024)
Olivier Jeunen, Jatin Mandav, Ivan Potapov, Nakul Agarwal, Sourabh Vaid, Wenzhe Shi, Aleksei Ustimenko
Multi-Objective Recommendation via Multivariate Policy Learning. CoRR (2024)
Shubham Baweja, Neeti Pokharna, Aleksei Ustimenko, Olivier Jeunen
Variance Reduction in Ratio Metrics for Efficient Online Experiments. ECIR (5) (2024)
Olivier Jeunen, Shubham Baweja, Neeti Pokharna, Aleksei Ustimenko
Powerful A/B-Testing Metrics and Where to Find Them. CoRR (2024)
Olivier Jeunen, Aleksei Ustimenko
Δ-OPE: Off-Policy Estimation with Pairs of Policies. CoRR (2024)
Bram van den Akker, Olivier Jeunen, Ying Li, Ben London, Zahra Nazari, Devesh Parekh
Practical Bandits: An Industry Perspective. WSDM (2024)
Olivier Jeunen, Sean Murphy, Ben Allison
Off-Policy Learning-to-Bid with AuctionGym. KDD (2023)
Olivier Jeunen, Bart Goethals
Pessimistic Decision-Making for Recommender Systems. Trans. Recomm. Syst. 1 (1) (2023)
Olivier Jeunen
Abstract: A Common Misassumption in Online Experiments with Machine Learning Models. Perspectives@RecSys (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
Tutorials at The Web Conference 2023. WWW (Companion Volume) (2023)
Olivier Jeunen
A Probabilistic Position Bias Model for Short-Video Recommendation Feeds. RecSys (2023)
Hitesh Sagtani, Madan Gopal Jhawar, Rishabh Mehrotra, Olivier Jeunen
Ad-load Balancing via Off-policy Learning in a Content Marketplace. CoRR (2023)
Olivier Jeunen, Ivan Potapov, Aleksei Ustimenko
On (Normalised) Discounted Cumulative Gain as an Offline Evaluation Metric for Top-n Recommendation. CoRR (2023)
Bram van den Akker, Olivier Jeunen, Ying Li, Ben London, Zahra Nazari, Devesh Parekh
Practical Bandits: An Industry Perspective. CoRR (2023)
Olivier Jeunen, Hitesh Sagtani, Himanshu Doi, Rasul Karimov, Neeti Pokharna, Danish Kalim, Aleksei Ustimenko, Christopher Green, Wenzhe Shi, Rishabh Mehrotra
On Gradient Boosted Decision Trees and Neural Rankers: A Case-Study on Short-Video Recommendations at ShareChat. CoRR (2023)
Olivier Jeunen, Hitesh Sagtani, Himanshu Doi, Rasul Karimov, Neeti Pokharna, Danish Kalim, Aleksei Ustimenko, Christopher Green, Rishabh Mehrotra, Wenzhe Shi
On Gradient Boosted Decision Trees and Neural Rankers: A Case-Study on Short-Video Recommendations at ShareChat. FIRE (2023)
Olivier Jeunen, Ben London
Offline Recommender System Evaluation under Unobserved Confounding. CoRR (2023)
Olivier Jeunen
A Probabilistic Position Bias Model for Short-Video Recommendation Feeds. CoRR (2023)
Olivier Jeunen, Thorsten Joachims, Harrie Oosterhuis, Yuta Saito, Flavian Vasile, Yixin Wang
CONSEQUENCES - The 2nd Workshop on Causality, Counterfactuals and Sequential Decision-Making for Recommender Systems. RecSys (2023)
Olivier Jeunen
A Common Misassumption in Online Experiments with Machine Learning Models. SIGIR Forum 57 (1) (2023)
Gabriel Bénédict, Olivier Jeunen, Samuele Papa, Samarth Bhargav, Daan Odijk, Maarten de Rijke
RecFusion: A Binomial Diffusion Process for 1D Data for Recommendation. CoRR (2023)
Olivier Jeunen
A Common Misassumption in Online Experiments with Machine Learning Models. CoRR (2023)
Olivier Jeunen, Thorsten Joachims, Harrie Oosterhuis, Yuta Saito, Flavian Vasile
CONSEQUENCES - Causality, Counterfactuals and Sequential Decision-Making for Recommender Systems. RecSys (2022)
Imad Aouali, Amine Benhalloum, Martin Bompaire, Benjamin Heymann, Olivier Jeunen, David Rohde, Otmane Sakhi, Flavian Vasile
Offline Evaluation of Reward-Optimizing Recommender Systems: The Case of Simulation. CoRR (2022)
Olivier Jeunen, Jan Van Balen, Bart Goethals
Embarrassingly shallow auto-encoders for dynamic collaborative filtering. User Model. User Adapt. Interact. 32 (4) (2022)
Olivier Jeunen, Ciarán M. Gilligan-Lee, Rishabh Mehrotra, Mounia Lalmas
Disentangling Causal Effects from Sets of Interventions in the Presence of Unobserved Confounders. CoRR (2022)
Olivier Jeunen, Ciarán M. Gilligan-Lee, Rishabh Mehrotra, Mounia Lalmas
Disentangling Causal Effects from Sets of Interventions in the Presence of Unobserved Confounders. NeurIPS (2022)
Olivier Jeunen, Bart Goethals
Top-K Contextual Bandits with Equity of Exposure. RecSys (2021)
Olivier Jeunen, Bart Goethals
Pessimistic Reward Models for Off-Policy Learning in Recommendation. RecSys (2021)
Flavian Vasile, David Rohde, Olivier Jeunen, Amine Benhalloum
A Gentle Introduction to Recommendation as Counterfactual Policy Learning. UMAP (2020)
Olivier Jeunen, David Rohde, Flavian Vasile, Martin Bompaire
Joint Policy-Value Learning for Recommendation. KDD (2020)
Olivier Jeunen, Jan Van Balen, Bart Goethals
Closed-Form Models for Collaborative Filtering with Side-Information. RecSys (2020)
Sandy Moens, Olivier Jeunen, Bart Goethals
Interactive evaluation of recommender systems with SNIPER: an episode mining approach. RecSys (2019)
Olivier Jeunen, Koen Verstrepen, Bart Goethals
Efficient similarity computation for collaborative filtering in dynamic environments. RecSys (2019)
Olivier Jeunen, Dmytro Mykhaylov, David Rohde, Flavian Vasile, Alexandre Gilotte, Martin Bompaire
Learning from Bandit Feedback: An Overview of the State-of-the-art. CoRR (2019)
Olivier Jeunen, David Rohde, Flavian Vasile
On the Value of Bandit Feedback for Offline Recommender System Evaluation. CoRR (2019)
Olivier Jeunen
Revisiting offline evaluation for implicit-feedback recommender systems. RecSys (2019)
Olivier Jeunen, Patrick Bosch, Michiel Van Herwegen, Karel Van Doorselaer, Nick Godman, Steven Latré
A Machine Learning Approach for IEEE 802.11 Channel Allocation. CNSM (2018)