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I'm attempting to reproduce the results presented in http://arxiv.org/abs/2308.13111. However, I'm encountering difficulties in accurately calculating the Expected Calibration Error (ECE).
The pape…
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I pushed the following text to the new repo:
This book introduces Bayesian data analysis and Bayesian cognitive modeling to
students and researchers in cognitive science (e.g., linguistics,
psych…
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# Hyperparameters Tuning for XGBoost using Bayesian Optimization | Dr.Data.King
How to tune your XGBoost model hyperparameters? How to set up parallel computing for your model training which may take…
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There are some excellent packages for estimating Bayesian evidence for Turing models. It would allow us to perform model comparisons for various priors and model choices. We should consider supporting…
yebai updated
6 months ago
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# Adding several acquisition functions
Currently we have Thompson Sampling and Probability of Improvement as acquisition functions. It would be ideal to include
- [x] Expected Improvement (EI).…
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![image](https://user-images.githubusercontent.com/30803146/70693628-7fb6a500-1cc6-11ea-86a2-2ec7f15c9bbd.png)
![image](https://user-images.githubusercontent.com/30803146/70693609-762d3d00-1cc6-1…
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- [ ] Look for information on automatic hyperparameter tuning optimization and its viability for our project
- [ ] Define hyperparameters to be optimized for
- [ ] Test new methods like population-b…
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# Title
Introduction to Simulation Based Inference: enhancing synthetic models with Artificial Intelligence
# Responsible person(s)
Alina Bazarova, Stefan Kesselheim, Forschungszentrum Jülich, …
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Dear Dominick,
First of all, thank you very much for your creating the correlation function. You guys are really filling a gap in both Psychology and Neurosciences. Well done!
I wonder whether …
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Hello, I am trying to run your code from the Bayesian_uncertainty_LSTM repository but I am getting one error in the computing the stochastic dropout.
It says that the enc function is expecting onl…