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(edited to not require the new API)
Probably other algorithms too. I see that proximal_grad does handle it correctly.
This little script compares the fit for scikit-learn LogisticRegression and ou…
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Hello,
I looked at your article [A Semismooth Newton Method for Fast, Generic Convex Programming](https://arxiv.org/abs/1705.00772).
Looking at Figure 2, I couldn't understand if Coordinate Desc…
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There was a reason for the authors to use the alternating updates.
The modification suggested here breaks the tree formulation, and just renders it as "some" deep-net architecture. With this modif…
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python exampleTVGL.py
/mnt/work/tvgl/TVGL.py:4: SyntaxWarning: import * only allowed at module level
def TVGL(data, lengthOfSlice, lamb, beta, indexOfPenalty, verbose = False, eps = 3e-3, epsAbs…
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Certain inputs appear to cause the `admm` method to run forever (or at least for more than 10 minutes). You should be able to reproduce this with:
```julia
julia> A = readdlm(IOBuffer("""-0.614015…
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NMF in scikit-learn overview :
**Current implementation ([code](https://github.com/scikit-learn/scikit-learn/blob/master/sklearn/decomposition/nmf.py)):**
- loss = squared (aka Frobenius norm)
…
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If I slightly modify the inner `local_update` solves in the current ADMM implementation as follows:
```
def local_update(y, X, w, z, u, rho, fprime=proximal_logistic_gradient,
f=…
cicdw updated
7 years ago
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A few shape issues that arose in #2 :
- Change the ADMM implementation to accept `y` arrays of shape `(X.shape[0], )`, possibly by simply adding the line `y = y[:, None]` before restructuring too …
cicdw updated
7 years ago
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When I run housing_paper.py in Linux, I got the following error:
"Solver '%s' failed. Try another solver." % solver.name())
cvxpy.error.SolverError: Solver 'ECOS' failed. Try another solver.
C…
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I started trying to play with @hussainsultan 's ADMM code. However, it requires many parameters for which I do not know good values. Can we add sane defaults there? Do we know sane defaults?
Sho…