Nicolas Mayoraz

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 9

Top Topics

Recommender Systems

Real World Data Sets

Probabilistic Matrix Factorization

Collaborative Filtering

Top Venues

Publications

Walid Krichene, Nicolas Mayoraz, Steffen Rendle, Shuang Song, Abhradeep Thakurta, Li Zhang
Private Learning with Public Features. AISTATS (2024)
Walid Krichene, Nicolas Mayoraz, Steffen Rendle, Shuang Song, Abhradeep Thakurta, Li Zhang
Private Learning with Public Features. CoRR (2023)
Martin Mladenov, Chih-Wei Hsu, Vihan Jain, Eugene Ie, Christopher Colby, Nicolas Mayoraz, Hubert Pham, Dustin Tran, Ivan Vendrov, Craig Boutilier
RecSim NG: Toward Principled Uncertainty Modeling for Recommender Ecosystems. CoRR (2021)
Weiwei Kong, Walid Krichene, Nicolas Mayoraz, Steffen Rendle, Li Zhang
Rankmax: An Adaptive Projection Alternative to the Softmax Function. NeurIPS (2020)
Martin Mladenov, Chih-Wei Hsu, Vihan Jain, Eugene Ie, Christopher Colby, Nicolas Mayoraz, Hubert Pham, Dustin Tran, Ivan Vendrov, Craig Boutilier
Demonstrating Principled Uncertainty Modeling for Recommender Ecosystems with RecSim NG. RecSys (2020)
Walid Krichene, Nicolas Mayoraz, Steffen Rendle, Li Zhang, Xinyang Yi, Lichan Hong, Ed H. Chi, John R. Anderson
Efficient Training on Very Large Corpora via Gramian Estimation. ICLR (Poster) (2019)
Francois Belletti, Karthik Lakshmanan, Walid Krichene, Nicolas Mayoraz, Yi-Fan Chen, John R. Anderson, Taylor Robie, Tayo Oguntebi, Dan Shirron, Amit Bleiwess
Scaling Up Collaborative Filtering Data Sets through Randomized Fractal Expansions. CoRR (2019)
Walid Krichene, Nicolas Mayoraz, Steffen Rendle, Li Zhang, Xinyang Yi, Lichan Hong, Ed H. Chi, John R. Anderson
Efficient Training on Very Large Corpora via Gramian Estimation. CoRR (2018)
Doris Xin, Nicolas Mayoraz, Hubert Pham, Karthik Lakshmanan, John R. Anderson
Folding: Why Good Models Sometimes Make Spurious Recommendations. RecSys (2017)