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Hi,
I am trying to use tensorflow probability to learn a Bayesian neural networks. I want to learn the responses y_t based on input features x_t, i.e.
` y_t = f(x_t) + eps`
where f(x_t) is th…
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The paper "Likelihood-free parameter estimation with neural Bayes estimators" (Sainsbury-Dale, Zammit-Mangion, & Huser, 2023) enables neural amortized *point* estimation, which is generally faster tha…
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# Neural Likelihood Free Inference – List of papers using Neural Networks for Bayesian Likelihood-Free Inference
List of papers using Neural Networks for Bayesian Likelihood-Free Inference
[https://…
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**Summary !!!**
- **BioModel Name**: Beker2020 - Drug-likeness prediction based on Bayesian neural networks
- **BioModel Tag**: Machine learning model, Ersilia, FAIR AIML
- **Metadata Comment…
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**Submitting author:** @homerjed (Jed Homer)
**Repository:** https://github.com/homerjed/sbiax
**Branch with paper.md** (empty if default branch):
**Version:** 0.0.9
**Editor:** Pending
**Reviewers:*…
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We need to be able to apply the testing data to a learning framework.
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Hi assistant professor @matthewwicker , I was trying to re-implemented the paper "Individual Fairness in Bayesian Neural Networks" but I get the following error
```
File /opt/conda/lib/python3.10/…
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I think an updated readme will help to see how different components are connected, even if the structure of the project might change. I'll volunteer to do this since it will help me get a better sense…
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www.hunch.net
http://fastml.com/bayesian-machine-learning/
http://jakevdp.github.io/blog/2014/03/11/frequentism-and-bayesianism-a-practical-intro/
https://www.reddit.com/r/MachineLearning/comme…
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Hi,
On the current version of RoBO there is no RoBO/robo/fmin/bohamiann.py script. How can I get this? Or is there another library that has a similar algorithm? I am trying to do Bayesian Optimizatio…