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@adrhill @gdalle
I tried to run some benchmarks on the NLS problems using `BundleAdjustmentModels.jl`, but I'm encountering issues with the sparsity detection of any Hessian. It takes an extremely l…
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I saw in #15776 that `is_convex` cannot be used on multivariate functions.
I think it is possible to implement it using `hessian` and `is_positive_semidefinite` (see [this Wikipedia article](https:…
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A helpless fact is that there are two different versions of hessian2. One is the version that the dubbo used. See http://hessian.caucho.com/doc/hessian-serialization.html.
Another is the version t…
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Hi @j-fu!
As of this morning's release, DifferentiationInterface is starting to look like a solid replacement for SparseDiffTools in the realm of sparse Jacobians and Hessians. Would you be intereste…
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```python
from jax import hessian
from jax.random import PRNGKey, gamma
key = PRNGKey(1)
hessian_sample = hessian(gamma, argnums=(1,))
# NotImplementedError: Differentiation rule for 'random_ga…
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Some of the OptimTraj methods (i.e. trapezoid, hermiteSimpson, rungeKutta) are able to exploit user-supplied gradients of the dynamics, path objective, etc. functions. Are there plans for the OptimTra…
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Hi @lilygoli, thank you for your great work!
May I follow up on your explanation of equation (10) in #4
> thus, it makes sense to place a regularizing independent Gaussian prior θ ∼ N (0, λ−1) …
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Hi all,
I noticed in [this commit](https://github.com/google-deepmind/optax/commit/7d43c5c0cc1ab343229c3c394b3179a1404e97e8) that the Sophia optimiser (see [paper](https://arxiv.org/abs/2305.14342)…
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```julia
julia> g(x, y) = sum((x .* y).^2)
g (generic function with 1 method)
julia> f = let y = rand(10)
x -> g(x, y)
end
#57 (generic function with 1 method)
julia> hess…
jbrea updated
4 weeks ago
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Could you please fix that?
```
WARNING: An illegal reflective access operation has occurred
WARNING: Illegal reflective access by com.caucho.hessian.io.HessianInput (jar:file:/.../com/caucho/hessia…