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According to the [docs](https://github.com/tensorflow/kfac/blob/master/kfac/python/keras/README.md), this optimizer is supposed to `converge much faster (>3.5x) and with fewer iterations (>14x) than S…
ghost updated
4 months ago
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### Problem Description
At present the only two DFT's available for the symmetric group algebra are the seminormal basis and modular DFT. Neither of these are unitary transformations.
### Pr…
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Erika kindly extracted the data into a usable format. Might do some quick editing/culling first:
```
English,Français
collinearity,colinéarité
combinatorial method,méthode combinatoire
comparis…
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Hi,
In my application I have two traits where only a subset of the samples have observation on both traits. I want to use the kernel matrix for the samples to estimate the trait covariance components…
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Hi,
I have two questions related to the same models I have been working on, and mostly comes down to proper coding. I have not done any R-INLA or inlabru workshop, so the knowledge I have picked up…
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The current design object generated by `gs_design_ahr`, `gs_power_ahr`, etc., includes a lengthy list of input parameters that users may not find of interest. Is it possible to hide these input parame…
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Here are two matrix groups over a finite ring which compare as unequal, despite having the same elements:
```
sage: gens1 = ([52,0,0,103],[104,0,0,104],[1,1,0,1])
sage: gens2 = ([52, 0, 0, 103],[59…
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question on mailing list for sparse VAR
https://groups.google.com/d/msg/pystatsmodels/NWurUtjX9Qg/98xpoTIuBQAJ
reference
Davis, Richard A., Pengfei Zang, and Tian Zheng. 2015. “Sparse Vector Autoregr…
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Hi,
I have a small dataset (_N_ ~ 2000) of samples (**x**, y) where **x** ∈ ℝ²⁰, with very little noise. The 2000 samples are not completely independent, in the sense that they can be divided in 50…