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**Reviewers:**
Submitting Author: Jouni Helske (@helske)
Other Package Authors: (delete if none) Name (@mvihola)
Repository: https://github.com/helske/bssm
Version submitted: 2.0.0
Submission ty…
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Consider the following resources for machine learning, probability, and classic AI
## tagged machine learning
[Wheel/Rail Adhesion State Identification of Heavy-Haul Locomotive Based on Particle…
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I am tuning a HM with Keras-Tuner BO, once searched the space, I realized that the 'tuner' object I used does not seems to return the same HM when I write tuner.get_best_hyperparameters(1) compared …
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### Issue Description
**TL; DR**
Support for MLE, MAP, and Variational inference!
**Context**
In situations where scalability and speed need to be balanced with posterior sample quality, various…
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We can keep this course short (1-day), covering only some general/basic concepts in phylogeny:
- What is a phylogeny
- MSA
- Phylogenetic inference
- Tree uncertainty (bootstrap)
- Bayesian inf…
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TPOT does not distinguish between discrete and continous hyper parameters and treats everything as discrete values.
# Motivation for the issue
Many models rely on continuous parameters that can va…
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Both @ericmjl and I are firm believers that Probabilistic Programming has a bright and huge future.
I know other people believe the same. @springcoil has said toe me previously that "PP is the new …
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### Contact Details
N.J.Rahder@tilburguniversity.edu
### Is your content request related to a problem you've encountered during your research process? Please describe.
To construct a more comprehen…
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I have a simulation of a PDE on which I would like to perform Bayesian inference. I can (easily, thank you guys!) compute the 'forward' and gradient of the PDE, more efficiently than NumPy can, but th…