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cs.LG2026
From Approximation to Emergence: A Theory of Deep Learning
Zhilin Zhao
Deep learning has outgrown any single mathematical explanation. From Approximation to Emergence develops a unified, proof-oriented account of modern deep learning theory, tracing a…
cs.LG2026
Bridging Domain Expertise and Generalization for Performance Estimation
Shuxuan Li, Zhilin Zhao, Quyu Kong +1
Performance estimation under distribution shift aims to predict how a model behaves on an unlabeled test set whose distribution differs from the training data, a scenario that requ…