Schreuder, Nicolas

8 publications

JMLR 2025 Efficient Numerical Integration in Reproducing Kernel Hilbert Spaces via Leverage Scores Sampling Antoine Chatalic, Nicolas Schreuder, Ernesto De Vito, Lorenzo Rosasco

COLT 2025 The Late-Stage Training Dynamics of (stochastic) Subgradient Descent on Homogeneous Neural Networks Sholom Schechtman, Nicolas Schreuder

NeurIPS 2024 Addressing Bias in Online Selection with Limited Budget of Comparisons Ziyad Benomar, Evgenii Chzhen, Nicolas Schreuder, Vianney Perchet

AISTATS 2023 Fair Learning with Wasserstein Barycenters for Non-Decomposable Performance Measures Solenne Gaucher, Nicolas Schreuder, Evgenii Chzhen

ICML 2022 Nyström Kernel Mean Embeddings Antoine Chatalic, Nicolas Schreuder, Lorenzo Rosasco, Alessandro Rudi

UAI 2021 Classification with Abstention but Without Disparities Nicolas Schreuder, Evgenii Chzhen

ALT 2021 Statistical Guarantees for Generative Models Without Domination Nicolas Schreuder, Victor-Emmanuel Brunel, Arnak Dalalyan

AISTATS 2020 A Nonasymptotic Law of Iterated Logarithm for General M-Estimators Nicolas Schreuder, Victor-Emmanuel Brunel, Arnak Dalalyan