Differentiating Nonsmooth Solutions to Parametric Monotone Inclusion Problems - Argumentation, Décision, Raisonnement, Incertitude et Apprentissage Access content directly
Journal Articles SIAM Journal on Optimization Year : 2024

Differentiating Nonsmooth Solutions to Parametric Monotone Inclusion Problems

Abstract

We leverage path differentiability and a recent result on nonsmooth implicit differentiation calculus to give sufficient conditions ensuring that the solution to a monotone inclusion problem will be path differentiable, with formulas for computing its generalized gradient. A direct consequence of our result is that these solutions happen to be differentiable almost everywhere. Our approach is fully compatible with automatic differentiation and comes with assumptions which are easy to check, roughly speaking: semialgebraicity and strong monotonicity. We illustrate the scope of our results by considering three fundamental composite problem settings: strongly convex problems, dual solutions to convex minimization problems and primal-dual solutions to min-max problems.
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Dates and versions

hal-03900339 , version 1 (15-12-2022)

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Jérôme Bolte, Edouard Pauwels, Antonio José Silveti-Falls. Differentiating Nonsmooth Solutions to Parametric Monotone Inclusion Problems. SIAM Journal on Optimization, 2024, 34 (1), 27 p. ⟨10.1137/22M1541630⟩. ⟨hal-03900339⟩
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