Avoid Overclaims: Summary of Complexity Bounds for Algorithms in Minimization and Minimax Optimization

Published: 23 Jan 2025, Last Modified: 30 Mar 2025ICLR 2025 Blogpost TrackEveryoneRevisionsBibTeXCC BY 4.0
Abstract:

In this blog, we summarize the upper and lower complexity bounds of first-order algorithms in minimization and minimax optimization problems. Within the classical oracle model framework, we review the state-of-the-art upper and lower bound results in various settings, aiming to identify gaps in existing research. With the rapid development of applications like machine learning and operation research, we further identify some recent works that revised the classical settings of optimization algorithms study.

Conflict Of Interest:

No

Submission Number: 99
Loading

OpenReview is a long-term project to advance science through improved peer review with legal nonprofit status. We gratefully acknowledge the support of the OpenReview Sponsors. © 2025 OpenReview