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Hello,
Coming from Python (`scipy.optimize.minimize`) and MATLAB (`fmincon`), I can't find a way to specify bounds (and other constraints), which to me are very essential parts of an optimization pro…
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A close and correct reading of algorithm 3.12
LEVENBERG-MARQUARDT METHODS FOR CONSTRAINED NONLINEAR EQUATIONS WITH STRONG LOCAL CONVERGENCE PROPERTIES by Kanzow, Yamashita and Fukushima
and the as…
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Is there a way to constrain the matrices while EM fitting?
For example- I want the transition matrix to be diagonal matrix, and the diagonal terms to be 0-1, like the below:
[[0.5 0 0]
[0 0.9 0]
…
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Look for "outcome constraints" in
https://ax.dev/tutorials/building_blocks.html#4.-Define-an-optimization-config-with-custom-metrics
An example in SciML would be Bayesian optimization of a yield o…
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Any plans on supporting arbitrary constraints on input/output?
E.g. non-linear inequality constraints etc.
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In GitLab by @valentjn on Jul 28, 2018, 18:22
At SGA'18, Lorenzo Tamellini wanted to change the inner optimization method in the `AugmentedLagrangian` class (`optimization` module). The reason was th…
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**Submitting author:** @dc-luo (Dingcheng Luo)
**Repository:** https://github.com/hippylib/soupy
**Branch with paper.md** (empty if default branch):
**Version:** Development
**Editor:** @jedbrown
**R…
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Consider adding constrained optimization as a regularizer.
From: https://blog.safaribooksonline.com/2014/02/13/constrained-optimization-pylearn2/ one of the regularizers that pyearn2 supports is `col…
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Hi,
I was wondering if IPNewton() could be used in conjunction with equality constraints. The tutorial was quite nice, but noted that this had not yet been implemented.
Something else I notice…
alh99 updated
4 years ago
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We merged `TunedThresholdClassifierCV` in #26120.
However, we don't expose any way to optimize a metric that is constrained by another as one would do when choosing a point on the ROC or PR curves.
…