Research

Probabilistic Missing Value Imputation for Mixed Categorical and Ordered Data, Yuxuan Zhao, Alex Townsend and Madeleine Udell, Advances in Neural Information Processing Systems (NeurIPS), 2022 [Arxiv] [Code]
Online Missing Value Imputation and Change Point Detection with the Gaussian copula, Yuxuan Zhao*, Eric Landgrebe*, Eliot Shekhtman, and Madeleine Udell, Accepted by AAAI, 2022 [AAAI][Arxiv] [Preliminary version at ICML 2020 workshop Artemiss][Code]
Matrix Completion with Quantified Uncertainty through Low Rank Gaussian Copula, Yuxuan Zhao and Madeleine Udell, Advances in Neural Information Processing Systems (NeurIPS), 2020 [NeurIPS] [Arxiv] [Code] [Poster]
Missing value imputation for mixed data via Gaussian copula, Yuxuan Zhao and Madeleine Udell, ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2020 [ACM] [Arxiv] [Code]

Group Linear non-Gaussian Component Analysis with Applications to Neuroimaging, Yuxuan Zhao, David S. Matteson, Stewart H. Mostofsky, Mary Beth Nebel, and Benjamin Risk, Computational Statistics and Data Analysis, 2022 [CSDA][Arxiv]

gcimpute: A package for Missing Data Imputation, Yuxuan Zhao and Madeleine Udell, Submitted to Journal of Statistical Software, 2022 [Arxiv]

Yuxuan Zhao’s Homepage