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stat.ML2023
Outlier Detection Using Generative Models with Theoretical Performance Guarantees
Jirong Yi, Jingchao Gao, Tianming Wang +2
This paper considers the problem of recovering signals modeled by generative models from linear measurements contaminated with sparse outliers. We propose an outlier detection appr…
stat.ML2022
Mutual Information Learned Regressor: an Information-theoretic Viewpoint of Training Regression Systems
Jirong Yi, Qiaosheng Zhang, Zhen Chen +4
As one of the central tasks in machine learning, regression finds lots of applications in different fields. An existing common practice for solving regression problems is the mean…