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### Description
The following code does not compile giving the following error diagnostic:
```
Function is not differentiable
Differentiated functions in '@inlinable' functions must be marked '@…
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The target field almost always overlaps with itself as one increases its resolution (L_x, M_x, N_x, L_B, or M_B).
![Target_field](https://github.com/user-attachments/assets/a99e7edd-a3e2-4ea0-9364-…
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Hi, i am interested in your non-differentiable objectives experiments using MeZO, but i don't find the dataset class and prompt template of SST-5, SNLI, TREC datasets. Can you share the dataset cla…
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Hello,
first of all, thank you very much for the very user-friendly package! Great work!
I am currently training a deep reinforcement learning agent that has a differentiable optimization as part …
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Currently, we directly backpropagate through the tangent vector field calculation, which involves a Newton solve to find the minimum of a convex quadratic objective. It may be more efficient to define…
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This is a meta-issue for keeping track of progress on implementing differentiable higher-order functions from SciPy in JAX, e.g.,
- [ ] `scipy.sparse.linalg.gmres` and `cg`: matrix-free linear solv…
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Although not now, some day down the road it might be good to benchmark our code (in terms of speed / supported problem types) against other existing solutions. Some possible candidates:
- https://git…
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[JAXopt](https://jaxopt.github.io/stable/index.html) is a differentiable optimizers which can solve general optimization problems such as set constrained or non-smooth optimization. I wonder whether i…
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# 03-04-03 Differentiable quasiconvex functions · 모두를 위한 컨벡스 최적화
[https://convex-optimization-for-all.github.io/contents/chapter03/2021/02/12/03_04_03_differentiable_quasiconvex_functions/](https:/…
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Great job! This is the first time I've seen a differentiable top-k selection in an engineering project so well-implemented. But I have a question for the author: What are the differences between the t…