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added ref for BNN
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Expand Up @@ -23287,3 +23287,66 @@ @article{DBLP:journals/ml/HullermeierW21
url = {https://doi.org/10.1007/s10994-021-05946-3},
doi = {10.1007/S10994-021-05946-3},
}

@Book{Goodfellow-et-al-2016,
Title = {Deep Learning},
Author = {Ian J. Goodfellow and Yoshua Bengio and Aaron Courville},
Publisher = {MIT Press},
Year = {2016},

Address = {Cambridge, MA, USA},
Note = {\url{http://www.deeplearningbook.org}}
}

@article{zhang2023dive,
added-at = {2021-06-30T00:00:00.000+0200},
author = {Zhang, Aston and Lipton, Zachary C. and Li, Mu and Smola, Alexander J.},
biburl = {https://www.bibsonomy.org/bibtex/28cc8ac76638148320629c9b4f227ea2b/dblp},
ee = {https://arxiv.org/abs/2106.11342},
interhash = {4c31a4430ad42d349fde77e238d5c27a},
intrahash = {8cc8ac76638148320629c9b4f227ea2b},
journal = {CoRR},
keywords = {dblp},
timestamp = {2024-04-09T00:04:43.000+0200},
title = {Dive into Deep Learning.},
url = {http://dblp.uni-trier.de/db/journals/corr/corr2106.html#abs-2106-11342},
volume = {abs/2106.11342},
year = 2021
}

@book{johnson2022bayes,
title={Bayes Rules!: An Introduction to Applied Bayesian Modeling},
author={Johnson, A.A. and Ott, M.Q. and Dogucu, M.},
isbn={9781032191591},
lccn={2021037969},
series={Chapman \& Hall/CRC texts in statistical science},
url={https://books.google.de/books?id=pISQzgEACAAJ},
year={2022},
publisher={CRC Press}
}

@book{robert_monte_2004,
added-at = {2020-07-15T00:37:54.000+0200},
author = {Robert, C.P. and Casella, G.},
biburl = {https://www.bibsonomy.org/bibtex/2c45ba78e01455a35b301daddc182caed/twagener},
interhash = {faaab58e84fb4966b7d2118bc839c076},
intrahash = {c45ba78e01455a35b301daddc182caed},
keywords = {},
publisher = {Springer Verlag},
timestamp = {2020-07-15T00:37:54.000+0200},
title = {Monte {Carlo} statistical methods},
year = 2004
}

@ARTICLE{Jospin_2022,
author={Jospin, Laurent Valentin and Laga, Hamid and Boussaid, Farid and Buntine, Wray and Bennamoun, Mohammed},
journal={IEEE Computational Intelligence Magazine},
title={Hands-On Bayesian Neural Networks—A Tutorial for Deep Learning Users},
year={2022},
volume={17},
number={2},
pages={29-48},
keywords={Deep learning;Training data;Uncertainty;Design methodology;Computational modeling;Stochastic processes;Bayes methods;Neural networks;Tutorials},
doi={10.1109/MCI.2022.3155327}
}

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