My name is Z. Sun, a 2nd year PhD student in Statistics at University College London. I am very very lucky to be supervised by Prof. F-X Briol and Prof. J-H Xue. Before that, I accomplished my M.Sc at University of Oxford.
In general, I am very interested in computational statistics and machine learning. Recently, I have worked on meta-learning, control variates and Stein’s method.
Meta-learning targets at the learning problems when only a small set of samples are available for training. It is all about how to make use of past knowledge to generalize on novel unseen tasks.
Control Variates methdods aim to get an estimator for integration problems which largely reduce the variance of Monte Carlo estimators especially when sample size is small.
[* means equal contribution.]
Sun, Z., Wu, J., Li, X., Yang, W., Xue, J-H.(2021). Amortized Bayesian Prototype Meta-learning: A new probabilistic meta-learning approach to few-shot image classification. In Proceedings of the 24th International Conference on Artificial Intelligence and Statistics (AISTATS), PMLR.
Li, X.*, Wu, J.*, Sun, Z.*, Ma, Z., Cao, J., Xue, J-H.(2020). Bi-Similarity Network for Fine-grained Few-shot Image Classification. IEEE Transactions on Image Processing.
Li, X.*, Sun, Z.*, Xue, J-H., Ma, Z. (2020). A Concise Review of Recent Few-shot Meta-learning Methods. Neurocomputing.
- Poster at AISTATS 2021, April 2021, (San Diego, California, USA).
- Talk at Data Centric Engineering @ The Alan Turing Institute, March 2021, (London, UK).