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cs.LG2025
CFL: On the Use of Characteristic Function Loss for Domain Alignment in Machine Learning
Abdullah Almansour, Ozan Tonguz
Machine Learning (ML) models are extensively used in various applications due to their significant advantages over traditional learning methods. However, the developed ML models of…
cs.LG2025
Using Kolmogorov-Smirnov Distance for Measuring Distribution Shift in Machine Learning
Ozan K. Tonguz, Federico Taschin
One of the major problems in Machine Learning (ML) and Artificial Intelligence (AI) is the fact that the probability distribution of the test data in the real world could deviate s…