Aug 4, 2018 · In this work, we show that these orthogonal directions that are ignored by gradient descent can be critical in equilibrium problems. Equilibrium ...

This work uses the framework of Variational Inequalities to analyze popular training algorithms for a fundamental GAN variant: the Wasserstein ...

Aug 4, 2018 · Global Convergence to the Equilibrium of GANs using Variational Inequalities. Ian Gemp. College of Information and Computer Sciences.

Global Convergence to the Equilibrium of GANs using Variational Inequalities. ... Finding Equilibria in Large Games using Variational Inequalities. AAAI ...

2014. Global convergence to the equilibrium of gans using variational inequalities ... Generative adversarial equilibrium solvers. D Goktas, DC Parkes, I ...

Table 1 : Existing convergence rates for VI algorithms in different... Global Convergence to the Equilibrium of GANs using Variational Inequalities. Preprint.

equilibrium in generative adversarial nets (gans). In International ... Global convergence to the equilibrium of gans using variational inequalities.

Dec 20, 2018 · Metareview: The paper presents a variational inequality perspective on the optimization problem arising in GANs. Convergence of stochastic ...

Highlight: In this work, we show that these orthogonal directions that are ignored by gradient descent can be critical in equilibrium problems. Ian Gemp; ...