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Nicolas Schreuder
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2020 – today
- 2025
- [i8]Sholom Schechtman, Nicolas Schreuder:
The late-stage training dynamics of (stochastic) subgradient descent on homogeneous neural networks. CoRR abs/2502.05668 (2025) - 2024
- [c6]Ziyad Benomar, Evgenii Chzhen, Nicolas Schreuder, Vianney Perchet:
Addressing Bias in Online Selection with Limited Budget of Comparisons. NeurIPS 2024 - 2023
- [c5]Solenne Gaucher, Nicolas Schreuder, Evgenii Chzhen:
Fair learning with Wasserstein barycenters for non-decomposable performance measures. AISTATS 2023: 2436-2459 - [i7]Ziyad Benomar, Evgenii Chzhen, Nicolas Schreuder, Vianney Perchet:
Addressing bias in online selection with limited budget of comparisons. CoRR abs/2303.09205 (2023) - [i6]Antoine Chatalic, Nicolas Schreuder, Ernesto De Vito, Lorenzo Rosasco:
Efficient Numerical Integration in Reproducing Kernel Hilbert Spaces via Leverage Scores Sampling. CoRR abs/2311.13548 (2023) - 2022
- [c4]Antoine Chatalic, Nicolas Schreuder, Lorenzo Rosasco, Alessandro Rudi:
Nyström Kernel Mean Embeddings. ICML 2022: 3006-3024 - [i5]Antoine Chatalic, Nicolas Schreuder, Alessandro Rudi, Lorenzo Rosasco:
Nyström Kernel Mean Embeddings. CoRR abs/2201.13055 (2022) - [i4]Solenne Gaucher, Nicolas Schreuder, Evgenii Chzhen:
Fair learning with Wasserstein barycenters for non-decomposable performance measures. CoRR abs/2209.00427 (2022) - 2021
- [c3]Nicolas Schreuder, Victor-Emmanuel Brunel, Arnak S. Dalalyan:
Statistical guarantees for generative models without domination. ALT 2021: 1051-1071 - [c2]Nicolas Schreuder, Evgenii Chzhen:
Classification with abstention but without disparities. UAI 2021: 1227-1236 - [i3]Nicolas Schreuder, Evgenii Chzhen
:
Classification with abstention but without disparities. CoRR abs/2102.12258 (2021) - 2020
- [c1]Arnak S. Dalalyan, Nicolas Schreuder, Victor-Emmanuel Brunel:
A nonasymptotic law of iterated logarithm for general M-estimators. AISTATS 2020: 1331-1341 - [i2]Evgenii Chzhen
, Nicolas Schreuder:
An example of prediction which complies with Demographic Parity and equalizes group-wise risks in the context of regression. CoRR abs/2011.07158 (2020)
2010 – 2019
- 2019
- [i1]Victor-Emmanuel Brunel, Arnak S. Dalalyan, Nicolas Schreuder:
A nonasymptotic law of iterated logarithm for robust online estimators. CoRR abs/1903.06576 (2019)
Coauthor Index

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