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Lecture 10: Nonsmooth optimization
Dmitriy Drusvyatskiy: Active strict saddles in nonsmooth optimization
Mykola Korablov - Intro to Nonsmooth Optimization. Subgradient descent methods
Optimization and Nonsmooth Analysis (Classics in Applied Mathematics)
Claudia Sagastizábal: Exploiting structure in nonsmooth optimization past and present
Claudia Sagastizábal: Exploiting structure in nonsmooth optimization present and future
Patrick Mehlitz: Asymptotic regularity in nonsmooth mathematical programming
Aleksandr Aravkin - Algorithms for Nonsmooth, Nonconvex Problems in Data-Driven Discovery
VA & OPT: Nonsmooth DC optimization recent developments
Non-Smooth Optimization with Noisy Gradient-Free Oracle
Active strict saddles in nonsmooth optimization
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Last Updated: September 30, 2026
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Adrian S. Lewis Cornell University Title: The third talk in the second season of the One World Wednesday, July 8 12:00 PM - 12:45 PM Numerous Talk given at the University of Washington on 6/6/19 for the Physics Informed Machine Learning Workshop. Hosted by Nathan ... In many practical problems, gradient information can be prohibitively expensive or even not available. In such a case, ... We introduce a geometrically transparent strict saddle property for
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