 Flipout estimator (Wen et al., 2018), which performs a Monte
Carlo approximation of the distribution integrating over the <code>kernel</code> and
<code>bias</code>. Flipout uses roughly twice as many floating point operations as the
reparameterization estimator but has the advantage of significantly lower
variance.</p>
<p>The arguments permit separate specification of the surrogate posterior
(<code><a href='https://rdrr.io/r/base/quit.html'>q(W|x)</a></code>), prior (<code>p(W)</code>), and divergence for 