- The
reparameterization trick (aka "
reparameterization gradient estimator") is a
technique used in
statistical machine learning,
particularly in variational...
- In mathematics, and more
specifically in geometry,
parametrization (or parameterization; also parameterisation, parametrisation) is the
process of finding...
- Both
networks are
typically trained together with the
usage of the
reparameterization trick,
although the
variance of the
noise model can be
learned separately...
- on the other, even
accounting for
reparameterization in the
usual way, but the
Jeffreys prior on one
reparameterizes to the
Jeffreys prior on the other...
-
technique is
called "Gumbel-max trick" and is a
special example of "
reparameterization tricks". In detail, let ( π 1 , … , π n ) {\displaystyle (\pi _{1}...
- Finally,
unlike ML estimators, the MAP
estimate is not
invariant under reparameterization.
Switching from one
parameterization to
another involves introducing...
- {\displaystyle \mu _{W},\Sigma _{W},\mu _{b},\Sigma _{b}} are
learned via the
reparameterization trick. Berger-Tal, Oded; Nathan, Jonathan; Meron, Ehud; Saltz, David...
- and
varies correctly under a
change of variables. (see
section on
Reparameterization.) The
information provided by a
sufficient statistic is the same as...
- More recently, Δ-STN has
improved this
method further by a
slight reparameterization of the
hypernetwork which speeds up training. Δ-STN also
yields a...
-
Quantile regression is a type of
regression analysis used in
statistics and econometrics.
Whereas the
method of
least squares estimates the conditional...
