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Theory II: Landscape of the Empirical Risk in Deep Learning, , , and . (2017)Regularization and statistical learning theory for data analysis, , , and . Computational Statistics & Data Analysis, 38 (4): 421--432 (Feb 28, 2002)Prediction of central nervous system embryonal tumour outcome based on gene expression, , , , , , , , , and 15 other author(s). Nature, 415 (6870): 436--442 (January 2002)General conditions for predictivity in learning theory, , , and . Nature, 428 (6981): 419--422 (2004)Learning Functions: When Is Deep Better Than Shallow, , and . (2016)cite arxiv:1603.00988.A nonparametric approach to pricing and hedging derivative securities via learning networks, , and . NBER working paper series National Bureau of Economic Research, Cambridge, Mass., (1994)Hierarchical models of object recognition in cortex, and . Nature Neuroscience, 2 (11): 1019-1025 (1999)Neural Mechanisms for the Recogniton of Biological Movements, and . Nature Reviews Neuroscience, (2003)Models of Object Recognition, and . Nature Neuroscience Supplement, (2000)How Neural Networks Learn the Support is an Implicit Regularization Effect of SGD., , and . CoRR, (2024)