Publications & Talks

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]

Publications

• 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]

Talks

• SNPE-B Revisited: Rethinking of Data Efficiency and Variance Reduction
  Zhijian He, Yifei Xiong, Xiliang Yang
  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]