GaussianMapping
GaussianMapping(self,
mean: Tensor,
cov: Tensor,| None = None,
reference: GaussianReference bool = False,
diag: )
A mapping between two Gaussian densities.
This preconditioner provides a mapping between the standard Gaussian density and an Gaussian density with an arbitrary mean and covariance.
Parameters
mean : Tensor
-
The mean of the target Gaussian density.
cov : Tensor
-
The covariance matrix of the target Gaussian density.
reference : GaussianReference | None = None
-
The reference density. If this is not specified, it will be set to the unit Gaussian density with support on \([-4, 4]^{d}\).
diag : bool = False
-
Whether
cov
is a diagonal matrix.