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Although nlminb is currently being used, adding the bobyqa optimizer may provide an alternative routine to consider in the event of model convergence problems. Is the bobyqa optimization routine some…
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Documentation in `structural_time_series.py` indicates that the `bijector` in the `Parameter` named tuple type is intended to transform unconstrained values into the support space of the parameter.
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Hello,
what is the **reference paper** for this repo?
Best.
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## Description of the feature
Handle $\log\det $-like datafit and allow variables with multiple roles.
**Additional context**
@bgirault-inria is currently solving (simpler) graphical-Lasso-like…
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Models that are run with PRAXIS as the optimizer will not terminate. In the simple example below, the model will spin indefinitely but if manually stopped, it will return the expected coefficients. BO…
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Thanks for the awesome work!
currently, I've been struggling with an issue while working with speedster which I will lay out below:
**1. I've been able to optimize onnx model ( from HuggingFace, and…
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very vague
**part 1**
Some nested model comparison tests assume that we take some "nuisance parameter" as constant across models, usually it's recommended to use them from the unconstrained model.
e…
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Hello,
I have a multistart optimization code that generates initial parameter guesses `initialps` as you can see below and later used every row of them to solve a new optimization problem.
```ju…
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Ciao Diego,
I have tried your solution in several environments but it seems it is hard to keep correctly all version of packages.
I finally could run your notebook for yolov5 in Google Colab bu…
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- [ ] Normalized Adaptive Gradient
```
@article{DBLP:journals/corr/abs-1305-6646,
author = {St{\'{e}}phane Ross and
Paul Mineiro and
John Langford},
title…