Publications & Talks
Manuscripts
Leveraging nested MLMC for sequential neural posterior estimation with intractable likelihoods
Xiliang Yang, Yifei Xiong, Zhijian He
Last revised on July 2025. [arXiv]SOMA: a novel sampler for exchangeable variables
Yifei Xiong, Nianqiao P. Ju
Under review, May 2025. [arXiv]Evaluating and improving subspace inference in Bayesian deep learning
Yifei Xiong, Nianqiao P. Ju, Ruqi Zhang
Under review, Oct 2024.
Publications
Simulation-based Bayesian Inference from Privacy Protected Data
Yifei Xiong, Nianqiao P. Ju, Sanguo Zhang
Transactions on Machine Learning Research (TMLR), Mar 2025. [Article] [arXiv]An efficient likelihood-free Bayesian inference method based on sequential neural posterior estimation
Yifei Xiong, Xiliang Yang, Sanguo Zhang, Zhijian He
Communications in Statistics - Simulation and Computation, Jan 2025. [Article] [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]
Talks & Posters
Simulation-based Bayesian Inference from Privacy Protected Data
9th Bayesian, Fiducial, and Frequentist (BFF) Conference
Purdue Indy, Indianapolis, May 13, 2025. [Poster] [Link]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]