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Thanks for this very nice package!
On the general topic of benchmarks, I would be quite interested to know how the L-BFGS implementation in argmin would compare to,
- [liblbfgs](http://chokkan.or…
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hi everyone, great work with this library. Manopt has BFGS, is there any reason not to have it in Python too?
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I've just found that the demo of GPR sometimes fails to optimize hyperparameters using BFGS or L-BFGS in this library; it throws run-time exceptions during line search. This needs to be examined caref…
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### Version
24.01
### On which installation method(s) does this occur?
Docker, Pip, Source
### Describe the issue
After specifying the optimizer to be bfgs in config file, it overrides …
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Is there any interest in adding a quasi-Newton based optimizer? I was thinking of porting over:
https://github.com/tensorflow/probability/blob/master/tensorflow_probability/python/optimizer/bfgs.py…
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Hi,
I am using a local windows system with CPU.
I have a question:
An option named "display_every" exists for the Adam optimizer that records the results as we want.
But how about L-BFGS? It recor…
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### System information
- This concerns a customized script applying PINN
- Runs both (quite well) on Jupyter Notebooks, and Colab
- TF2 (and T1 in other environment) installed using Anaco…
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Follow Spark MLLib, add L-BFGS, starting from logistic regression.
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Dear Dr. lulu,
I have some questions about DeepXDE.
What are the criteria for LBFGS optimizing stop?
Why are only a few dozen steps optimized after adam?
And I set the optimized parameters of …
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Scipy has it; Stan has it. I think it would be really handy to have it in ask/tell -- I often want to see how close my optimiser's results are over the course of optimisation, for example.
It's a f…