Approximate Last Iterate Convergence in Overparameterized GANs
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Abstract (arXiv)
In this work, we showed that the Implicit Update and Predictive Methods dynamics introduced in prior work satisfy last iterate convergence to a neighborhood around the optimum in overparameterized GANs, where the size of the neighborhood shrinks with the width of the neural network. This is in contrast to prior results, which only guaranteed average iterate convergence.
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References · 3
- 2018Neural Tangent Kernel: Convergence and Generalization in Neural Networkscited by 2,610
- 2018Interaction Matters: A Note on Non-asymptotic Local Convergence of Generative Adversarial Networkscited by 68
- 2020Provably Efficient Neural Estimation of Structural Equation Model: An Adversarial Approachcited by 31
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