I am a second year Ph.D. student in Statistics at the University of British Columbia. My research interests are Bayesian statistics and machine learning, and am currently working with Dr. Trevor Campbell from UBC’s Department of Statistics on developing fast and accurate large-scale Bayesian inference methods using data summarization techniques.

Apart from academics, I enjoy playing tennis, and work actively as a certified official with Tennis Canada.

News

Preprints

  • Tuning-free coreset Markov chain Monte Carlo [arXiv]
    Naitong Chen, Jonathan H. Huggins, Trevor Campbell

Publications

  • Coreset Markov chain Monte Carlo [PMLR] [arXiv]
    Naitong Chen, Trevor Campbell
    International Conference on Artificial Intelligence and Statistics, 2024
  • MixFlows: principled variational inference via mixed flows [PMLR] [arXiv]
    Zuheng Xu, Naitong Chen, Trevor Campbell
    International Conference on Machine Learning, 2023
  • Bayesian inference via sparse Hamiltonian flows [NeurIPS] [UBC library] [arXiv]
    Naitong Chen, Zuheng Xu, Trevor Campbell
    Advances in Neural Information Processing Systems, 2022

Education

  • Ph.D. in Statistics, University of British Columbia, 2022-Present
  • M.Sc. in Statistics, University of British Columbia, 2020-2022
  • B.Sc. in Statistics, University of British Columbia, 2015-2020

Work

  • Software Developer Co-op, SAP Vancouver, 2018

Teaching

  • Teaching Assistant, STAT 344, University of British Columbia, 2024
    Sample Survey
  • Teaching Assistant, STAT 305, University of British Columbia, 2024
    Introduction to Statistical Inference
  • Teaching Assistant, STAT 406, University of British Columbia, 2022-2023
    Methods for Statistical Learning
  • Teaching Assistant, STAT 200, University of British Columbia, 2018-2019, 2023-2024
    Elementary Statistics for Applications