Nicolas Schreuder

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 12

Top Topics

Top Venues

Publications

Solenne Gaucher, Nicolas Schreuder, Evgenii Chzhen
Fair learning with Wasserstein barycenters for non-decomposable performance measures. AISTATS (2023)
Antoine Chatalic, Nicolas Schreuder, Ernesto De Vito, Lorenzo Rosasco
Efficient Numerical Integration in Reproducing Kernel Hilbert Spaces via Leverage Scores Sampling. CoRR (2023)
Ziyad Benomar, Evgenii Chzhen, Nicolas Schreuder, Vianney Perchet
Addressing bias in online selection with limited budget of comparisons. CoRR (2023)
Antoine Chatalic, Nicolas Schreuder, Lorenzo Rosasco, Alessandro Rudi
Nyström Kernel Mean Embeddings. ICML (2022)
Solenne Gaucher, Nicolas Schreuder, Evgenii Chzhen
Fair learning with Wasserstein barycenters for non-decomposable performance measures. CoRR (2022)
Antoine Chatalic, Nicolas Schreuder, Alessandro Rudi, Lorenzo Rosasco
Nyström Kernel Mean Embeddings. CoRR (2022)
Nicolas Schreuder, Victor-Emmanuel Brunel, Arnak S. Dalalyan
Statistical guarantees for generative models without domination. ALT (2021)
Nicolas Schreuder, Evgenii Chzhen
Classification with abstention but without disparities. UAI (2021)
Nicolas Schreuder, Evgenii Chzhen
Classification with abstention but without disparities. CoRR (2021)
Arnak S. Dalalyan, Nicolas Schreuder, Victor-Emmanuel Brunel
A nonasymptotic law of iterated logarithm for general M-estimators. AISTATS (2020)
Evgenii Chzhen, Nicolas Schreuder
An example of prediction which complies with Demographic Parity and equalizes group-wise risks in the context of regression. CoRR (2020)
Victor-Emmanuel Brunel, Arnak S. Dalalyan, Nicolas Schreuder
A nonasymptotic law of iterated logarithm for robust online estimators. CoRR (2019)