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Published in arXiv preprint, 2025
This paper introduces a novel iterative method for missing data imputation that sequentially reduces the mutual information between data and their corresponding missing mask.
Recommended citation: Yu, Jiahao, Qizhen Ying, Leyang Wang, Ziyue Jiang, and Song Liu. "Missing Data Imputation by Reducing Mutual Information with Rectified Flows." arXiv preprint arXiv:2505.11749 (2025).
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Published in The 28th International Conference on Artificial Intelligence and Statistics (AISTATS 2025), 2025
This paper addresses differential inference in time-varying parametric probabilistic models and proposes to directly learn the time derivative of parameters via time score matching.
Recommended citation: Williams, Daniel J., Leyang Wang, Qizhen Ying, Song Liu, and Mladen Kolar. "High-Dimensional Differential Parameter Inference in Exponential Family using Time Score Matching." In The 28th International Conference on Artificial Intelligence and Statistics (AISTATS 2025).
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Lab demonstrator, University of Bristol, School of Mathematics, 2024
Lab demonstrator, University of Oxford, Department of Engineering, 2025
Lab demonstrator, University of Oxford, Department of Engineering, 2025