Yuyang Shi

Yuyang Shi

Statistical Machine Learning, Deep Learning, Generative Models

Hi! I’m Yuyang, a 2nd year PhD student jointly supervised by Arnaud Doucet, Tom Rainforth and Yee Whye Teh.

I am interested in probabilistic and statistical methodologies in machine learning. My current research interests include probabilistic generative models, variational inference, and Monte Carlo methods.

Before starting my PhD, I completed a Master of Mathematics at University of Oxford.



  • Y. Shi , V. De Bortoli , G. Deligiannidis , A. Doucet , Conditional Simulation Using Diffusion Schr\backslash" odinger Bridges, arXiv preprint arXiv:2202.13460, 2022.


  • A. Campbell , Y. Shi , T. Rainforth , A. Doucet , Online Variational Filtering and Parameter Learning, in Advances in Neural Information Processing Systems, 2021.
  • Y. Shi , R. Cornish , On Multilevel Monte Carlo Unbiased Gradient Estimation for Deep Latent Variable Models, in Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, 2021.