I am a first year Ph.D. candidate at the Center of Foundational Artificial Intelligence of University College London, supervised by François-Xavier Briol and Arthur Gretton. My research interests center around probabilistic modelling and causal inference.
Prior to my PhD, I obtained my bachelor's degree from the department of Electronic Engineering, Tsinghua Universisty. I have worked as a research assistant at Oxford Applied and Theoretical Machine Learning Group (OATML), advised by Tim G. J. Rudner and Yarin Gal. I have also worked as a research assistant at Statistics and Machine Learning group at the Hong Kong University of Science and Technology (HKUST), advised by Tong Zhang.
Publications and Preprints
- Conditional Bayesian Quadrature
Zonghao Chen, Masha Naslidnyk, Arthur Gretton, François-Xavier Briol
- Tractable Function-Space Variational Inference in Bayesian Neural Networks
Tim G. J. Rudner, Zonghao Chen, Yee Whye Teh, Yarin Gal
NeurIPS '22 Conference on Neural Information Processing Systems.
- Efficient Neural Network Training via Forward and Backward Propagation Sparsification
Xiao Zhou*, Weizhong Zhang*, Zonghao Chen, Shizhe Diao, Tong Zhang
NeurIPS ’21 Conference on Neural Information Processing Systems
- A Neural Tangent Kernel Perspective on Function-Space Regularization in Neural Networks
Zonghao Chen*, Xupeng Shi*, Tim G. J. Rudner, Qixuan Feng, Weizhong Zhang, Tong Zhang
NeurIPS 2022 Workshop: Optimization for machine learning
Tsinghua Presidential Scholarship, Tsinghua University
Finalist Award in the Mathematical Contest in Modeling (MCM), The Consortium for Mathematics and its Applications
Yinghua Scholarship, Tsinghua University