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Would it be possible to get some code like below working? The first example with the function `f` is meant to show that this definition of `hessian_vector_product` can work. The second example shows t…
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Can we compute the Hessian? Can we compute a Hessian Vector Product?
What's the interface to do this?
Request from @rgiordan.
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https://github.com/UCL/STIR/actions/runs/10450627407/job/28935385772?pr=1489#step:12:207
```
----- testing concavity via Hessian-vector product (accumulate_Hessian_times_input)
INFO: Loaded 8019 …
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In the original paper, the authors claimed that MAML needs second gradient and Hessian-vector products. Could you explain how do you implement this or Pytorch just do this automatically? Thanks!
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I saw in the [docs](https://linearsolve.sciml.ai/stable/) that "the current algorithms should support automatic differentiation," and played around with it a bit. My ultimate goal is to get a Hessian-…
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I'm attempting to compute Hessian vector products for use with RL algorithms like Natural Policy Gradient or TRPO, but have been entirely unsuccessful.
Following https://github.com/FluxML/Zygote.jl…
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Hey! :wave: I'm trying to use Hessian approximation, but setting it like (with JuMP)
```julia
m = Model(()->MadNLP.Optimizer(hessian_approximation=MadNLP.CompactLBFGS));
```
has no effect, it stil…
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Hey there friends of JSO!
@adrhill and I have been hard at work on two autodiff toolkits which you might find useful:
- [DifferentiationInterface.jl](https://github.com/gdalle/DifferentiationInt…
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#### Summary:
Once the ```stan::model``` class has implemented Hessians and Hessian-vector products, expose them in the ```rstan``` ```modelfit``` class. See https://github.com/stan-dev/stan/issues…
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The functions
1. [`stan::math::internal::finite_diff_hessian_times_vector_auto()`](https://github.com/stan-dev/math/blob/9f2689e920f41cec1de74fc673cb4b99e20623ba/stan/math/rev/functor/finite_diff_h…