About me

Yifei Xiong

I am currently enrolled in a statistics PhD program with a focus on Bayesian Statistics and Machine Learning.
My research interests include Bayesian statistics, Monte Carlo methods, differential privacy, and machine learning techniques.
Email: xiong173 [AT] purdue.edu

News

Some of my undergraduate maths course notes are now available on here.

Educations

Talks

  • SNPE-B Revisited: Rethinking of Data Efficiency and Variance Reduction
    10th International Congress on Industrial and Applied Mathematics (ICIAM)
    Waseda University, Tokyo, Aug 25, 2023. [Link]

  • An efficient likelihood-free Bayesian inference method based on sequential neural posterior estimation
    The 24th Beijing-Tianjin-Hebei Youth Symposium on Probability Statistics
    Tsinghua University, Beijing, Jun 10, 2023. [Slides] [Link]

Publications and Manuscripts

  • Evaluating and improving subspace inference in Bayesian deep learning
    Yifei Xiong, Nianqiao P. Ju, Ruqi Zhang
    Under review, Oct 2024.

  • Leveraging nested MLMC for sequential neural posterior estimation with intractable likelihoods
    Xiliang Yang, Yifei Xiong, Zhijian He
    Under review, Dec 2023. [arXiv]

  • Conditional density estimations from privacy-protected data
    Yifei Xiong, Nianqiao P. Ju, Sanguo Zhang
    Revised, Oct 2023. [arXiv]

  • An efficient likelihood-free Bayesian inference method based on sequential neural posterior estimation
    Yifei Xiong, Xiliang Yang, Sanguo Zhang, Zhijian He
    Revised, May 2023. [arXiv]

  • 3D geometric modeling analysis of contact probability effect in carbon black oxidation over MnOx-CeO2 catalysts
    Jingheng Gao, Yifei Xiong, Qian Zhang, et.al
    Chemical Engineering Journal, May 2020. [Article]