mlsanityData to 7 Oct 2026

Open Problem: The Oracle Complexity of Convex Optimization with Limited Memory

arXiv 1907.00762 ↗First posted 1 Jul 2019cs.LG math.OC stat.MLcited by 8

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Abstract (arXiv)

We note that known methods achieving the optimal oracle complexity for first order convex optimization require quadratic memory, and ask whether this is necessary, and more broadly seek to characterize the minimax number of first order queries required to optimize a convex Lipschitz function subject to a memory constraint.

Key facts. Cited by 8 papers in the map (data through 7 Oct 2026). First posted on arXiv 1 Jul 2019.

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Citing papers per year: 2022: 1; 2023: 4; 2024: 2; 2025: 0; 2026: 1.

8 papers.