Zhu Li (Michael)

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Dino SejdinovicProfessor of Statistical Machine Learning, University of AdelaideVerified email at adelaide.edu.au
Arthur GrettonGatsby Computational Neuroscience Unit and Google DeepmindVerified email at gatsby.ucl.ac.uk
Dino OglicAstraZeneca CambridgeVerified email at astrazeneca.com
Jean-Francois TonByteDance ResearchVerified email at bytedance.com
Dimitri MeunierPhD student, Gatsby Unit, UCLVerified email at ucl.ac.uk
Gustau Camps-VallsProfessor. Image Processing Lab (IPL). Universitat de ValènciaVerified email at uv.es
Mattes MollenhauerMerantix MomentumVerified email at merantix-momentum.com
Zhi-Hua ZhouNanjing UniversityVerified email at nju.edu.cn
Weijie SuAssociate Professor, University of PennsylvaniaVerified email at wharton.upenn.edu

Zhu Li (Michael)

University College London

Verified email at ucl.ac.uk - Homepage

Machine Learning Kernel Methods Learning Theory


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Towards a unified analysis of random Fourier features Z Li, JF Ton, D Oglic, D Sejdinovic International conference on machine learning, 3905-3914, 2019	135	2019
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	43	2021
Towards an understanding of benign overfitting in neural networks Z Li, ZH Zhou, A Gretton arXiv preprint arXiv:2106.03212, 2021	33	2021
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	31	2022
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	19	2019
Benign overfitting and noisy features Z Li, WJ Su, D Sejdinovic Journal of the American Statistical Association 118 (544), 2876-2888, 2023	14	2023
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	11	2022
Sharp analysis of random fourier features in classification Z Li Proceedings of the AAAI Conference on Artificial Intelligence 36 (7), 7444-7452, 2022	3	2022
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	2	2023
Nonlinear meta-learning can guarantee faster rates D Meunier, Z Li, A Gretton, S Kpotufe arXiv preprint arXiv:2307.10870, 2023	2	2023

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