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On Solving Minimax Optimization Locally: A Follow-the-Ridge Approach

, , and . (2019)cite arxiv:1910.07512Comment: 21 pages.

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Online Learning in Unknown Markov Games., , , and . ICML, volume 139 of Proceedings of Machine Learning Research, page 10279-10288. PMLR, (2021)Directional Smoothness and Gradient Methods: Convergence and Adaptivity., , , , and . CoRR, (2024)Distributed Bandit Learning: How Much Communication is Needed to Achieve (Near) Optimal Regret., , , and . CoRR, (2019)Joint Motion-Correction and Reconstruction in Cryo-Em Tomography., , and . ICIP, page 1101-1105. IEEE, (2022)Public Key Encryption with Fuzzy Matching., , , , , and . ProvSec, volume 13059 of Lecture Notes in Computer Science, page 39-62. Springer, (2021)Distributed Bandit Learning: Near-Optimal Regret with Efficient Communication., , , and . ICLR, OpenReview.net, (2020)Rethinking Learning-based Demosaicing, Denoising, and Super-Resolution Pipeline., , , , , , and . ICCP, page 1-12. IEEE, (2022)Learning Markov Games with Adversarial Opponents: Efficient Algorithms and Fundamental Limits., , and . ICML, volume 162 of Proceedings of Machine Learning Research, page 14036-14053. PMLR, (2022)Stereo Event-Based Particle Tracking Velocimetry for 3D Fluid Flow Reconstruction., , and . ECCV (29), volume 12374 of Lecture Notes in Computer Science, page 36-53. Springer, (2020)On Solving Minimax Optimization Locally: A Follow-the-Ridge Approach., , and . ICLR, OpenReview.net, (2020)