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- [1] Convergence Rates of Two-Time-Scale Gradient Descent-Ascent Dynamics for Solving Nonconvex Min-Max Problems LEARNING FOR DYNAMICS AND CONTROL CONFERENCE, VOL 168, 2022, 168
- [2] Convergence Rates of Gradient Descent-Ascent Dynamics Under Delays in Solving Nonconvex Min-Max Optimization 2024 European Control Conference, ECC 2024, 2024, : 2748 - 2753
- [3] Alternating Gradient Descent Ascent for Nonconvex Min-Max Problems in Robust Learning and GANs CONFERENCE RECORD OF THE 2019 FIFTY-THIRD ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS & COMPUTERS, 2019, : 680 - 684
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- [5] Optimal Epoch Stochastic Gradient Descent Ascent Methods for Min-Max Optimization ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 33, NEURIPS 2020, 2020, 33
- [6] Fixed-Time Convergence for a Class of Nonconvex-Nonconcave Min-Max Problems 2022 EIGHTH INDIAN CONTROL CONFERENCE, ICC, 2022, : 19 - 24
- [7] Last-Iterate Convergence Rates for Min-Max Optimization: Convergence of Hamiltonian Gradient Descent and Consensus Optimization ALGORITHMIC LEARNING THEORY, VOL 132, 2021, 132
- [8] Dissipative Gradient Descent Ascent Method: A Control Theory Inspired Algorithm for Min-Max Optimization IEEE CONTROL SYSTEMS LETTERS, 2024, 8 : 2009 - 2014
- [10] Convergence rate analysis of the gradient descent-ascent method for convex-concave saddle-point problems OPTIMIZATION METHODS & SOFTWARE, 2024, 39 (05): : 967 - 989