Nicolas Schreuder

18 papers A* 3A 3B 1Journal 11

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	An Efficient Permutation-Based Kernel Two-Sample Test. CoRR Antoine Chatalic, Marco Letizia, Nicolas Schreuder, Lorenzo Rosasco
2025	J	`jnl`	Efficient Numerical Integration in Reproducing Kernel Hilbert Spaces via Leverage Scores Sampling. J. Mach. Learn. Res. Antoine Chatalic, Nicolas Schreuder, Ernesto De Vito, Lorenzo Rosasco
2025	J	`jnl`	Minimax-Optimal Two-Sample Test with Sliced Wasserstein. CoRR Binh Thuan Tran, Nicolas Schreuder
2025	A*	`conf`	The late-stage training dynamics of (stochastic) subgradient descent on homogeneous neural networks. COLT Sholom Schechtman, Nicolas Schreuder
2025	J	`jnl`	The late-stage training dynamics of (stochastic) subgradient descent on homogeneous neural networks. CoRR Sholom Schechtman, Nicolas Schreuder
2024	A*	`conf`	Addressing Bias in Online Selection with Limited Budget of Comparisons. NeurIPS Ziyad Benomar, Evgenii Chzhen, Nicolas Schreuder, Vianney Perchet
2023	J	`jnl`	Addressing bias in online selection with limited budget of comparisons. CoRR Ziyad Benomar, Evgenii Chzhen, Nicolas Schreuder, Vianney Perchet
2023	J	`jnl`	Efficient Numerical Integration in Reproducing Kernel Hilbert Spaces via Leverage Scores Sampling. CoRR Antoine Chatalic, Nicolas Schreuder, Ernesto De Vito, Lorenzo Rosasco
2023	A	`conf`	Fair learning with Wasserstein barycenters for non-decomposable performance measures. AISTATS Solenne Gaucher, Nicolas Schreuder, Evgenii Chzhen
2022	J	`jnl`	Fair learning with Wasserstein barycenters for non-decomposable performance measures. CoRR Solenne Gaucher, Nicolas Schreuder, Evgenii Chzhen
2022	A*	`conf`	Nyström Kernel Mean Embeddings. ICML Antoine Chatalic, Nicolas Schreuder, Lorenzo Rosasco, Alessandro Rudi
2022	J	`jnl`	Nyström Kernel Mean Embeddings. CoRR Antoine Chatalic, Nicolas Schreuder, Alessandro Rudi, Lorenzo Rosasco
2021	A	`conf`	Classification with abstention but without disparities. UAI Nicolas Schreuder, Evgenii Chzhen
2021	J	`jnl`	Classification with abstention but without disparities. CoRR Nicolas Schreuder, Evgenii Chzhen
2021	B	`conf`	Statistical guarantees for generative models without domination. ALT Nicolas Schreuder, Victor-Emmanuel Brunel, Arnak S. Dalalyan
2020	A	`conf`	A nonasymptotic law of iterated logarithm for general M-estimators. AISTATS Arnak S. Dalalyan, Nicolas Schreuder, Victor-Emmanuel Brunel
2020	J	`jnl`	An example of prediction which complies with Demographic Parity and equalizes group-wise risks in the context of regression. CoRR Evgenii Chzhen, Nicolas Schreuder
2019	J	`jnl`	A nonasymptotic law of iterated logarithm for robust online estimators. CoRR Victor-Emmanuel Brunel, Arnak S. Dalalyan, Nicolas Schreuder