Dr Fanghui Liu

Research Interests:

  • Machine learning 
  • Kernel methods
  • Learning Theory

 

Biography

Dr Fanghui Liu is currently an Assistant Professor at the University of Warwick, UK. He received the B.E. degree in Automation from Harbin Institute of Technology, China, and the Ph.D. degree from Institute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, China, in 2014 and 2019, respectively. Before joining in LIONS Lab in October 2021 in EPFL, he worked as a postdoc researcher in ESAT-STADIUS, KU Leuven, Belgium from Oct. 2019 to Sep. 2021. His research areas mainly include machine learning, kernel methods, and learning theory.

Benign Overfitting in Deep Neural Networks under Lazy Training

Z. Zhu; F. Liu; G. Chrysos; F. Locatello; V. Cevher 

2023. 40th International Conference on Machine Learning (ICML), Honolulu, Hawaii, USA, July, 23-29, 2023.

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What can online reinforcement learning with function approximation benefitfrom general coverage conditions

F. Liu; L. Viano; V. Cevher 

2023. 40th International Conference on Machine Learning (ICML), Honolulu, Hawaii, USA, July, 23-29, 2023.

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Federated Learning under Covariate Shifts with Generalization Guarantees

A. Ramezani-Kebrya; F. Liu; T. M. Pethick; G. Chrysos; V. Cevher 

Transactions on Machine Learning Research. 2023. num. 06.

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Extrapolation and Spectral Bias of Neural Nets with Hadamard Product: a Polynomial Net Study

Y. Wu; Z. Zhu; F. Liu; G. Chrysos; V. Cevher 

2022. 36th Conference on Neural Information Processing Systems (NeurIPS), New Orleans, USA, November 28 – December 3, 2022.

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Generalization Properties of NAS under Activation and Skip Connection Search

Z. Zhu; F. Liu; G. Chrysos; V. Cevher 

2022. 36th Conference on Neural Information Processing Systems – NeurIPS 2022, New Orleans, USA, November 28 – December 3, 2022.

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Contact

e-mail address: [email protected]

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