Nicolas Mayoraz
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
4
Venues
3
Active years
2017–2024
Best venue rank
A*
Where they publish
Papers
4 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2024 | AISTATS | Private Learning with Public Features. | Walid Krichene, Nicolas Mayoraz, Steffen Rendle, Shuang Song, Abhradeep Thakurta, Li Zhang |
| 2020 | RecSys | Demonstrating Principled Uncertainty Modeling for Recommender Ecosystems with RecSim NG. | Martin Mladenov, Chih-Wei Hsu, Vihan Jain, Eugene Ie, Christopher Colby, Nicolas Mayoraz, Hubert Pham, Dustin Tran, Ivan Vendrov, Craig Boutilier |
| 2019 | ICLR | Efficient Training on Very Large Corpora via Gramian Estimation. | Walid Krichene, Nicolas Mayoraz, Steffen Rendle, Li Zhang, Xinyang Yi, Lichan Hong, Ed H. Chi, John R. Anderson |
| 2017 | RecSys | Folding: Why Good Models Sometimes Make Spurious Recommendations. | Doris Xin, Nicolas Mayoraz, Hubert Pham, Karthik Lakshmanan, John R. Anderson |