Mengchu Li
I am a PhD student in the Warwick Maths and Stats CDT programme. I am interested in learning and using techniques that arise from high-dimensional statistics, algorithmic robust statistics, minimax theory and differential privacy analysis. Currently I am exploring the fundamental limits of change point detection problem under local differential privacy constraints.
Publication and preprints
- Li, M., Berrett, T. B. and Yu,Y. Network change point localisation under local differential privacy (2022). arXiv preprint. (Preliminary version)
- Li, M., Berrett, T. B. and Yu,Y. On robustness and local differential privacy (2022).Link opens in a new window arXiv preprint.
- Li, M. and Yu,Y. Adversarially robust change point detection (2021)Link opens in a new window. Thirty-fifth Conference on Neural Information Processing Systems (NeurIPS 2021).
- Singh, A., Uwimpuhwe, G., Li, M., Einbeck, J., Higgins, S. and Kasim, A. Multisite educational trials: estimating the effect size and its confidence intervals (2021).Link opens in a new window International Journal of Research & Method in Education, pp.1-21.
Invited talks
June 2022: Network change point detection under local differential privacy. IMS Annual Meeting.
June 2022: Network change point detection under local differential privacy. ISNPS.
Nov 2021: Adversarial change point detection, YRM Seminar.
Jan 2021: Minimax rates in change point detection problems, SPAAM Seminar.
Teaching
2021/2022 - Term 1: ST220 Introduction to Mathematical Statistics
2021/2022 - Term 2: ST221 Linear Statistical Modelling
2020/2021 - Term 1: ST220 Introduction to Mathematical Statistics
2020/2021 - Term 2&3: ST104 Statistical Laboratory
Software
I contributed to the R package changepoints.