Simple subgradient methods between two oracle-complexity regimes
Simple subgradient methods between two oracle-complexity regimes. Current research status is unassessed. The dated source poses this question; inclusion does not certify that it remains open today.
Editorial MSC2020 mapping of Simple subgradient methods between two oracle-complexity regimes. https://siagoptimization.github.io/assets/views/ViewsAndNews-33-1.pdf#page=3 Not an author-supplied code.
Problem statement
For minimizing a convex -Lipschitz function on the Euclidean unit ball in , can a simple projected-subgradient-style method achieve approximately oracle complexity with inexpensive iterations and small memory?
Lean 4
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Background
Editorial question summary. Consult the linked source for the complete model, assumptions and discussion.
Progress & source assessment
Current research status is unassessed. The dated source poses this question; inclusion does not certify that it remains open today.
- [1]Jelena Diakonikolas. SIAM Optimization — Open Problems in Optimization (2025).; Simple subgradient methods between two oracle-complexity regimes linkIndependently written short question summaries and bibliographic pointers. No blanket redistribution license asserted for the original text.
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Discussion
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