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Thank you for your insightful comments and for sharing your specific application. Your observation about the fundamental nature of mathematics and its application in physics is astute. Let's delve in…
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I'm working with Gaussian processes where the kernel $k(x, y)$ is a function of two position vectors. I would like to take "directional cross derivatives" with respect to each position. That is, I wan…
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Hi,
Thank you very much for this great effort, which the community really would profit from!
While trying to set up this benchmark, I faced a few issues, which make it hard to use this benchmark…
MUCDK updated
10 months ago
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http://nbviewer.jupyter.org/github/demotu/BMC/blob/master/notebooks/CurveFitting.ipynb
http://nbviewer.jupyter.org/format/script/github/demotu/BMC/blob/master/notebooks/CurveFitting.ipynb
http://nbv…
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There are several existing classes that appear to be reproducing closely related functionalities, thus violating the "Don't Repeat Yourself" principle which is outlined in one of the lectures [in one …
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Hi there
Thanks for a great blogpost! After reading >5 different blogs/resources about GPs, this might be the first time that the multivariate Gaussian points on a plot has made sense to me.
Th…
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Hi everyone,
I am a bit confused the LCM. However, I am familiar this paper: Kernels for Vector-Valued Functions: a Review.
https://arxiv.org/pdf/1106.6251.pdf
I can't quite tell whether the…
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I have a minor comment about the mathematical notation in the post.
Throughout the post you have used X to mean test points and Y as training points. E.g. in start of section **Posterior Distribut…
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Hi, I have been trying to implement a sparse gpytorch model with multitask prediction. I am unsure if this is supported by gpytorch (the sparse gpytorch guide did not seem to mention multitask predict…
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I am seeing very slow performance when using skopt.Optimizer. Here is a reproducible example, that takes ~22.5s on my laptop:
```import os
os.environ["OMP_NUM_THREADS"] = "1"
import skopt
import…