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Hi,
Great work on this package. I’ve actually started building around it here https://github.com/jameschapman19/scikit-prox using your operators to solve regularised versions of some scikit-learn m…
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The bug in #1469 has not been caught in a test. This seems to be because proximal operator, as far as I can tell, are not systematically tested when the domain is `ProductSpace`.
- `proximal_operat…
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https://arxiv.org/pdf/2401.13125.pdf
https://uq-berlin.slack.com/archives/D0168AT80RY/p1706626173108139
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https://github.com/odlgroup/odl/blob/a269486387f51559fece569704097dda07b3ce86/odl/solvers/nonsmooth/proximal_operators.py#L1497
As it is implemented, the proximal of the Linfty-norm does not depend…
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Hello, recently I want to call the Proj_l1 operator in "odl.solvers.nonsmooth.proximal_operators.proj_l1" but return the following error:
> Traceback (most recent call last):
File "c:\Users\1329…
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This isnt an issue per se. I did want to figure out if I could use a similar approach for a simple LASSO regression in pytorch. Working with proximal operators with SGD is straightforward (but then SG…
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The total variation can be expressed as the composition of the `odl.L1Norm` with the `odl.Gradient` operator. Since its proximal cannot be calculated in closed form, primal-dual solvers are required, …
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May I request for the feature extension to compute the proximal operator of a constrained convex function? For example, a constrained convex function that shows up in low rank factor analysis is:
!…
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As of now, the group Lasso regularizer is not compatible with pytrees, but only with arrays.
The fundamental difference is that when we pass a model matrix in array format, parameters are grouped ba…