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Takeuchi's Information Criterion (TIC) accurately predicts DNN generalization gaps, but only when models operate near the Neural Tangent Kernel (NTK) regime.
Stop optimizing for matches or fairness in two-sided platforms; directly maximizing user retention yields significantly better results.
