About

My name is Kaiyu Li, a PhD student in Statistics at University College London. I am supervised by Prof. Serge Guillas and Prof. F-X Briol.

Research Interest

I am interested in uncertainty quantification, computational statistics and machine learning. My work involves developing and applying new methods to investigate and quantify uncertainties in computer models.

Publication

• Li, K., Giles, D., Karvonen, T., Guillas, S., & Briol, F. X. (2023). Multilevel Bayesian Quadrature. In Proc. of International Conference on Artificial Intelligence and Statistics (AISTATS). PMLR. (selected for an oral presentation (top 6% of accepted papers) )

Talk/Presentation

• Poster at LSIT 2023 - Seventh London Symposium on Information Theory, May 2023, UK.
• Oral presentation & Poster at The 26th International Conference on Artificial Intelligence and Statistics (AISTATS), April 2023, Spain.
• Poster at IMSI Workshop - Expressing and Exploiting Structure in Modeling, Theory, and Computation with Gaussian Processes, August 2022, USA.
• Talk at SIAM Conference on Uncertainty Quantification, April 2022, USA.
• Talk at High Dimensional and Functional Data Group, April 2022, UK.
• Poster at The Machine Learning Summer School by the Max Planck Institute for Intelligent Systems, June 2020, Germany.