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Researcher
Fanghui Liu
- Disciplines:Data mining
Affiliations
- Dynamical Systems, Signal Processing and Data Analytics (STADIUS) (Division)
Member
From1 Aug 2020 → 30 Sep 2021 - ESAT - STADIUS, Stadius Centre for Dynamical Systems, Signal Processing and Data Analytics (Division)
Member
From1 Oct 2019 → 31 Jul 2020
Publications
1 - 8 of 8
- Towards a Unified Quadrature Framework for Large-Scale Kernel Machines(2022)
Authors: Fanghui Liu, Johan Suykens
Pages: 7975 - 7988 - Random Features for Kernel Approximation: A Survey in Algorithms, Theory, and Beyond.(2021)
Authors: Fanghui Liu, Johan Suykens
- Fast Learning in Reproducing Kernel Krein Spaces via Signed Measures(2021)
Authors: Fanghui Liu, Yingyi Chen, Johan Suykens
- Analysis of Regularized Least Squares in Reproducing Kernel Krein Spaces(2021)
Authors: Fanghui Liu, Johan Suykens
Pages: 1145 - 1173 - Kernel regression in high dimensions: Refined analysis beyond double descent(2021)
Authors: Fanghui Liu, Johan Suykens
Pages: 649 - + - A Double-Variational Bayesian Framework in Random Fourier Features for Indefinite Kernels(2020)
Authors: Fanghui Liu, Johan Suykens
Pages: 2965 - 2979 - Random Fourier Features via Fast Surrogate Leverage Weighted Sampling(2020)
Authors: Fanghui Liu, Johan Suykens
Pages: 4844 - 4851 - Learning Data-adaptive Non-parametric Kernels(2020)
Authors: Fanghui Liu