-
To improve speed of light curve fitting, especially using Gaussian Processes (GPs), we have already discussed adding [tinygp package](https://tinygp.readthedocs.io/en/latest/index.html) to the stage 5…
-
https://github.com/JasperSnoek/spearmint
http://people.seas.harvard.edu/~jsnoek/software.html
http://fastml.com/tuning-hyperparams-automatically-with-spearmint/
http://www.johnmyleswhite.com/notebo…
-
Thank you for your contribution! I have some questions about the code details and look forward to your answers! 1. Is the DDPM encoding mentioned in the article actually the process of adding noise to…
-
Hi, similar to my other issue #61 , I wanted to propose adding a GP classification example. It can fit into Non-Gaussian Likelihoods or a different page.
I'd written a tutorial for Pyro: https://gi…
-
In the docs, it says that at some point, HyperOpt will also include support for Bayesian optimization through either Gaussian processes or regression trees; any idea on when that could be implemented?…
-
Here's one way we could reorganize the package:
* pycroscopy
* learn
* ml
* unsupervised
* cluster
* decomposition
* other unmixing
* gaussian…
-
Soft Constrained Autonomous Vehicle Navigation using Gaussian Processes and Instance Segmentation. (arXiv:2101.06901v1 [cs.RO])
https://ift.tt/3ioyOsy
This paper presents a generic feature-based navig…
-
### Metadata
- Authors: Yarin Gal & Zoubin Ghahramani
- Organization: University of Cambridge
- Conference: ICML 2016
- Paper: https://arxiv.org/pdf/1506.02142.pdf
- Appendix: https://arxiv.org/p…
-
I would like to reproduce the results in figure 4 of the paper "Nested Variational Compression in Deep Gaussian Processes" from "Nested Deep GPs.ipynb" notebook but model.plot() does not show any figu…
-
I find that the computation time for policy optimization will gradually increase, and the project is terminated by the tensorflow ResourceExhaustedError.