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The classical Clarke subdifferential alone is inadequate for understanding automatic differentiation in nonsmooth contexts.
Optimization and Nonsmooth Analysis
F.H. Clarke · 1983
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Entraînement unilatéral, lignes de descente, fonctions lipschitziennes non pathologiques
M. Valadier · 1989
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Geometric categories and o-minimal structures
L. van den Dries and C. Miller · 1996
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Clarke subgradients of stratifiable functions
J. Bolte, A. Daniilidis, A.S. Lewis, and M. Shiota · 2007
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On Lipschitz optimization based on gray-box piecewise linearization
A. Griewank, A. Walther, S. Fiege, and T. Bosse · 2016
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A Paszke et al · 2017
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Conservative set valued fields, automatic differentiation, stochastic gradient methods and deep learning
J. Bolte and E. Pauwels · 2020
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A mathematical model for automatic differentiation in machine learning
J. Bolte and E. Pauwels · 2020
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Stochastic subgradient method converges on tame functions
D. Davis, D. Drusvyatskiy, S. Kakade, and J.D. Lee · 2020
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On correctness of automatic differentiation for non-differentiable functions
Wonyeol Lee, Hangyeol Yu, X. Rival, and Hongseok Yang · 2020
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