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Zhu Li (Michael)
Zhu Li (Michael)
Подтвержден адрес электронной почты в домене ucl.ac.uk - Главная страница
Название
Процитировано
Процитировано
Год
Towards a unified analysis of random Fourier features
Z Li, JF Ton, D Oglic, D Sejdinovic
International conference on machine learning, 3905-3914, 2019
1402019
Towards a unified analysis of random fourier features
Z Li, JF Ton, D Oglic, D Sejdinovic
Journal of Machine Learning Research 22 (108), 1-51, 2021
442021
Optimal rates for regularized conditional mean embedding learning
Z Li, D Meunier, M Mollenhauer, A Gretton
Advances in Neural Information Processing Systems 35, 4433-4445, 2022
362022
Towards an understanding of benign overfitting in neural networks
Z Li, ZH Zhou, A Gretton
arXiv preprint arXiv:2106.03212, 2021
342021
Kernel dependence regularizers and gaussian processes with applications to algorithmic fairness
Z Li, A Perez-Suay, G Camps-Valls, D Sejdinovic
arXiv preprint arXiv:1911.04322, 2019
222019
Benign overfitting and noisy features
Z Li, WJ Su, D Sejdinovic
Journal of the American Statistical Association 118 (544), 2876-2888, 2023
152023
Physics-aware nonparametric regression models for Earth data analysis
J Cortés-Andrés, G Camps-Valls, S Sippel, E Székely, D Sejdinovic, ...
Environmental Research Letters 17 (5), 054034, 2022
122022
Nonlinear meta-learning can guarantee faster rates
D Meunier, Z Li, A Gretton, S Kpotufe
arXiv preprint arXiv:2307.10870, 2023
42023
Towards optimal Sobolev norm rates for the vector-valued regularized least-squares algorithm
Z Li, D Meunier, M Mollenhauer, A Gretton
arXiv preprint arXiv:2312.07186, 2023
32023
Sharp analysis of random fourier features in classification
Z Li
Proceedings of the AAAI Conference on Artificial Intelligence 36 (7), 7444-7452, 2022
32022
Optimal Rates for Vector-Valued Spectral Regularization Learning Algorithms
D Meunier, Z Shen, M Mollenhauer, A Gretton, Z Li
arXiv preprint arXiv:2405.14778, 2024
2024
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