- 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...
- 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...
- Both
networks are
typically trained together with the
usage of the
reparameterization trick,
although the
variance of the
noise model can be
learned separately...
-
technique is
called "Gumbel-max trick" and is a
special example of "
reparameterization tricks". In detail, let ( π 1 , … , π n ) {\displaystyle (\pi _{1}...
- and
varies correctly under a
change of variables. (see
section on
Reparameterization.) The
information provided by a
sufficient statistic is the same as...
-
given previously.
These functions are most
useful when the
argument is
reparameterized in
terms of angles,
letting x = cos θ {\displaystyle x=\cos \theta...
-
Quantile regression is a type of
regression analysis used in
statistics and econometrics.
Whereas the
method of
least squares estimates the conditional...
- _{0}^{2}+\sum _{i=1}^{n}(x_{i}-\mu )^{2}}{\nu _{0}+n}}\end{aligned}}}
Reparameterizing in
terms of an
inverse gamma distribution, the
result is: α ′ = α +...
- Finally,
unlike ML estimators, the MAP
estimate is not
invariant under reparameterization.
Switching from one
parameterization to
another involves introducing...
