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# Description
Enhance the current [Randomized Benchmarking experiments](https://github.com/Qiskit/qiskit-experiments/tree/main/qiskit_experiments/library/randomized_benchmarking) in Qiskit-Experime…
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We need to convert the implementain from LNe into the agent framework
https://github.com/Met4FoF/ZeMA_testbed_Bayesian_machine_learning
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**Submitting author:** @sidiwang (Sidi Wang)
**Repository:** https://github.com/sidiwang/snSMART
**Branch with paper.md** (empty if default branch): JOSS
**Version:** v0.2.3
**Editor:** Pending
**Revi…
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Submitting Author Name: Abigail Keller
Submitting Author Github Handle: @abigailkeller
Repository: https://github.com/abigailkeller/eDNAjoint
Version submitted: 0.1
Submission type: Stats
Badge …
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Currently, only GPs output point estimates + uncertainties/variances, but the latter can be important.
We can do two things to get models with uncertainties:
* implement more models that natively…
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You say that using a very broad prior distribution leads to insufficient regularization and thus overfitting. I'm guessing you have in mind using the MAP estimator. But this isn't a Bayesian thing t…
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This has been for me one of the most eye-opening applications of how Bayesian methods can complement reinforcement learning. I'll be sure to go through the source data you've linked and understand how…
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# UQ4ML – Uncertainty Quantification Techniques in Machine Learning Models
This session focuses on uncertainty quantification (UQ) techniques in machine learning models and their applications acros…
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#Bayesian Rank Based
>Bayesian Rank based Methods For Linear Model
>Nice paper to work on and very efficient method.
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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…