Local Convergence of Gradient Descent-Ascent for Training Generative Adversarial Networks
FIFTY-SEVENTH ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS & COMPUTERS, IEEECONF（2023）
Key words
Generative Adversarial Networks,Local Convergence,Generative Adversarial Networks Training,Dynamical,Learning Rate,Phase Transition,Convergence Rate,Nonlinear Systems,Minimax Optimization,Loss Function,Eigenvalues,Step Size,Kernel Function,Postural Stability,Equilibrium Point,Kinetic Rate,Hyperparameter Tuning,Point-like,Linear Term,Dirac Delta,Kernel Width,Model Hyperparameters,Spectral Radius,Maximum Mean Discrepancy,Smooth Measure,Small Learning Rate,Training Analysis
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