# Paper Reading: The Numerics of GANs

Note: this post is only meant for personal digestion and interpretation. It is incomplete and may mislead readers.

## Background

### Divergence Mesasures and GANS

revisit the concept of GAN from a divergence minimization point of view

$\min_\theta D(p_0, q_\theta)$

$\min_\theta \max_{f \in \mathcal{F}} \mathrm{E}_{x \sim q_\theta} \left[ g_1 \left( f(x) \right) \right] - \mathrm{E}_{x \sim p_0} \left[ g_2 \left( f(x) \right) \right]$

### Smooth Two-Players Games

\begin{aligned} L(x) &= \frac12 \left\Vert v(x) \right\Vert^2 \\ w(x) &= v(x) - \gamma \Delta L(x) \end{aligned}