About me
I am a Ph.D. candidate at the Center of Foundational Artificial Intelligence of University College London, supervised by
François-Xavier Briol and Arthur Gretton.
I am interested in understanding machine learning algorithms through the dual lenses of optimization and generalization. My current research focuses on generative models, Monte Carlo methods, and causal inference. Prior to my PhD, I obtained my bachelor's degree from the department of Electronic Engineering, Tsinghua University, 2022.
I organize the JumpTrading/ELLIS CSML seminar series on Computational Statistics and Machine Learning for the
UCL ELLIS Unit. Feel free to drop me an email if you would like to give a talk!
Recent News
November 2025
June 2025
June 2025
Two new journal papers on nonparametric instrumental variables (NPIV) just came out! 🎉 One Paper studies convergence guarantees under neural network representations, and the other Paper establishes sharp statistical rates for kernel-based estimators.
I will visit Taiji Suzuki at RIKEN AIP and University of Tokyo from June 2025 to August 2025.
I will visit Taiji Suzuki at RIKEN AIP and University of Tokyo from June 2025 to August 2025.
Journal Publications and Preprints
Zonghao Chen, Aratrika Mustafi, Pierre Glaser, Anna Korba, Arthur Gretton, Bharath K. Sriperumbudur
JMLR '25 Journal of Machine Learning Research
Paper, Code, Poster
Zonghao Chen, Atsushi Nitanda, Arthur Gretton, Taiji Suzuki
Preprint
Paper, Code,
Zikai Shen*, Zonghao Chen*, Dimitri Meunier, Ingo Steinwart, Arthur Gretton†, Zhu Li†
Preprint
Paper
Conference Publications and Preprints
Zonghao Chen, Toni Karvonen, Heishiro Kanagawa, François-Xavier Briol, Chris. J. Oates
Preprint
Paper, Code
Zonghao Chen, Masha Naslidnyk, François-Xavier Briol
ICML '25 International Conference on Machine Learning
Paper, Code, Poster
Zonghao Chen*, Masha Naslidnyk*, Arthur Gretton, François-Xavier Briol
UAI '24 Conference on Uncertainty in Artificial Intelligence
Paper, Code, Poster
Zonghao Chen*, Ruocheng Guo*, Jean-François Ton, Yang Liu
KDD '24 Conference on Knowledge Discovery and Data Mining
Paper, Code, Poster
Tim G. J. Rudner, Zonghao Chen, Yee Whye Teh, Yarin Gal
NeurIPS '22 Conference on Neural Information Processing Systems.
Paper
Xiao Zhou*, Weizhong Zhang*, Zonghao Chen, Shizhe Diao, Tong Zhang
NeurIPS ’21 Conference on Neural Information Processing Systems
Paper
Zonghao Chen*, Xupeng Shi*, Tim G. J. Rudner, Qixuan Feng, Weizhong Zhang, Tong Zhang
NeurIPS 2022 Workshop: Optimization for machine learning
Paper
Awards
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RIKEN Visiting Fellowship in Machine Learning, RIKEN AIP, Japan
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Newcastle Visiting Fellowship in Machine Learning, Newcastle University
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Tsinghua Presidential Scholarship, Tsinghua University
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Yinghua Scholarship, Tsinghua University