Research interests
- Recommender systems
- Reinforcement learning
- Off-policy estimation
Publications
Vie, Jill-Jênn, Tomas Rigaux, and Hisashi Kashima. 2022. “Variational Factorization Machines for Preference Elicitation in Large-Scale Recommender Systems.” In Proceedings of IEEE BigData 2022, 5607–5614. https://jiji.cat/bigdata/vie2022vfm.pdf.
Seminars
| Speaker | Date | Place | Title |
|---|---|---|---|
| Jill-Jênn Vie | March 2024 | Kyoto University | Kick-Off |
Resources
Members
Japan
- Koh Takeuchi, senior lecturer at Kyoto University
- Tomas Rigaux, PhD student at Kyoto University
- Hisashi Kashima, full professor at Kyoto University
Germany
- Clémence Réda, Marie Skłodowska-Curie Postdoctoral Fellow at Universität Rostock
France
- Jill-Jênn Vie, research scientist at SODA, Inria Saclay & lecturer at École polytechnique
- Samuel Girard, PhD student at SODA, Inria Saclay
- Fabien Tarissan, research scientist at CNRS & professor at ENS Paris Saclay
- Gaël Varoquaux, director of research at SODA, Inria Saclay,