Nicolas Schreuder

According to our database, Nicolas Schreuder authored at least 9 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Efficient Numerical Integration in Reproducing Kernel Hilbert Spaces via Leverage Scores Sampling.

Antoine Chatalic, Nicolas Schreuder, Ernesto De Vito, Lorenzo Rosasco

CoRR, 2023

Addressing bias in online selection with limited budget of comparisons.

Ziyad Benomar, Evgenii Chzhen, Nicolas Schreuder, Vianney Perchet

CoRR, 2023

Fair learning with Wasserstein barycenters for non-decomposable performance measures.

Solenne Gaucher, Nicolas Schreuder, Evgenii Chzhen

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Nyström Kernel Mean Embeddings.

Antoine Chatalic, Nicolas Schreuder, Lorenzo Rosasco, Alessandro Rudi

Proceedings of the International Conference on Machine Learning, 2022

2021

Classification with abstention but without disparities.

Nicolas Schreuder, Evgenii Chzhen

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

Statistical guarantees for generative models without domination.

Nicolas Schreuder, Victor-Emmanuel Brunel, Arnak S. Dalalyan

Proceedings of the Algorithmic Learning Theory, 2021

2020

An example of prediction which complies with Demographic Parity and equalizes group-wise risks in the context of regression.

Evgenii Chzhen, Nicolas Schreuder

CoRR, 2020

A nonasymptotic law of iterated logarithm for general M-estimators.

Arnak S. Dalalyan, Nicolas Schreuder, Victor-Emmanuel Brunel

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

A nonasymptotic law of iterated logarithm for robust online estimators.

Victor-Emmanuel Brunel, Arnak S. Dalalyan, Nicolas Schreuder

CoRR, 2019