Nicolas Mayoraz

According to our database1, Nicolas Mayoraz authored at least 7 papers between 2017 and 2024.

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Bibliography

2024
Private Learning with Public Features.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2021
RecSim NG: Toward Principled Uncertainty Modeling for Recommender Ecosystems.
CoRR, 2021

2020
Demonstrating Principled Uncertainty Modeling for Recommender Ecosystems with RecSim NG.
Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

Rankmax: An Adaptive Projection Alternative to the Softmax Function.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019
Scaling Up Collaborative Filtering Data Sets through Randomized Fractal Expansions.
CoRR, 2019

Efficient Training on Very Large Corpora via Gramian Estimation.
Proceedings of the 7th International Conference on Learning Representations, 2019

2017
Folding: Why Good Models Sometimes Make Spurious Recommendations.
Proceedings of the Eleventh ACM Conference on Recommender Systems, 2017


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