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I'm currently trying to use `geomstats` to compute the Fréchet mean and Tangent PCA on a manifold that I only know numerically. As a starting point I am trying to implement this for the 2-Sphere case …
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## Keyword: sgd
There is no result
## Keyword: optimization
### Multi-Target Decision Making under Conditions of Severe Uncertainty
- **Authors:** Authors: Christoph Jansen, Georg Schollmeyer, Thoma…
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This issue narrows the discussion in https://github.com/JuliaNLSolvers/Manifolds.jl/issues/3 to implementing distributions on Manifolds. It also continues some discussion from https://discourse.julial…
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I haven't investigated yet, but the Z-axis seems to flip on estimate3d-gui, especially when the camera is almost perpendicular to the tag.
This issue is a reminder to investigate more ;)
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A good way to define `grad` in terms of `jvp` is as the vector that satisfies for all v
![image](https://user-images.githubusercontent.com/1458824/99009537-08544b80-24fd-11eb-9d78-502fec79530e.png)…
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It is often useful to define linear operators on arbitrary linear spaces, not necessarily AbstractVectors (e.g. the discretization of a n-d PDE). At the moment this is not supported by LinearMaps.
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Manifolds and Optim walk into a bar asking for `Spheres`. Manifolds says the `norm` is to `project!`
https://github.com/JuliaManifolds/Manifolds.jl/blob/4c6cb43b9fce3ca4b506a00a6783aed9fc06a10f/src/…
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I'm willing to spearhead a module or set of modules containing:
* general constrained and unconstrained nonlinear optimization (sqp, global optimization, etc.)
* nonlinear equation solving (newt…
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Hello,
following this [discussion](https://discourse.julialang.org/t/posdefmanifoldml-machine-learning-for-positive-definite-matrices/32620/15), the steps followed by [PosDefManifold.jl](https://g…
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I am wondering if the 'tangent-space backpropagation' implemented here in "jaxlie.manifold.value_and_grad" is the same as that defined in the paper "Tangent Space Backpropagation for 3D Transformation…