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High-Dimensional Differential Parameter Inference in Exponential Family using Time Score Matching
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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teaching
2024 Mathematical Programming
Lab demonstrator, University of Bristol, School of Mathematics, 2024
2025 B20 Third Year Machine Learning Laboratory
Lab demonstrator, University of Oxford, Department of Engineering, 2025
2025 CWM AI+ML in Python
Lab demonstrator, University of Oxford, Department of Engineering, 2025