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cs.LG2026
Second-Order Path Kernel Interpolation Formulas in Machine Learning
Jin Guo, Roy Y. He, Jean-Michel Morel
Understanding how training data shape neural network predictions is a central problem in modern learning theory. In 2020, Pedro Domingos proposed an interpolation formula valid for…
cs.LG2026
On Interpolation Formulas Describing Neural Network Generalization
Jin Guo, Roy Y. He, Jean-Michel Morel
In 2020 Domingos introduced an interpolation formula valid for "every model trained by gradient descent". He concluded that such models behave approximately as kernel machines. In…