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stat.ML2026
A Semi-Supervised Kernel Two-Sample Test
Gyumin Lee, Shubhanshu Shekhar, Ilmun Kim
We consider the problem of two-sample testing in a semi-supervised setting with abundant unlabeled covariate data. Standard two-sample tests neglect covariate information, which ha…
stat.ML2026
Transfer Learning for Benign Overfitting in High-Dimensional Linear Regression
Yeichan Kim, Ilmun Kim, Seyoung Park
Transfer learning is a key component of modern machine learning, enhancing the performance of target tasks by leveraging diverse data sources. Simultaneously, overparameterized mod…