Let's understand Bayesian Deep Learning
- Yarin Gal, "Modern Deep Learning with Bayesian Eyes" (https://www.youtube.com/watch?v=YAb5C5_g-kk, http://mlg.eng.cam.ac.uk/yarin/PDFs/2015_UCL_Bayesian_Deep_Learning_talk.pdf)
- Alex Kendall, "Deep Learning Is Not Good Enough, We Need Bayesian Deep Learning for Safe AI" (http://alexgkendall.com/computer_vision/bayesian_deep_learning_for_safe_ai/)
- Awesome Bayesian Deep Learning (https://github.com/robi56/awesome-bayesian-deep-learning)
- History of Bayesian Neural Networks (https://youtu.be/FD8l2vPU5FY, http://bayesiandeeplearning.org/slides/nips16bayesdeep.pdf)
- Oxford University Bayesian Statistics (https://youtu.be/U1HbB0ATZ_A?list=PLFDbGp5YzjqXQ4oE4w9GVWdiokWB9gEpm)
- Why divide the sample variance by N-1(http://www.visiondummy.com/2014/03/divide-variance-n-1/)
- Harvard A Tutorial on Bayesian Optimization for Machine Learning(https://www.iro.umontreal.ca/~bengioy/cifar/NCAP2014-summerschool/slides/Ryan_adams_140814_bayesopt_ncap.pdf)
- https://thuijskens.github.io/2016/12/29/bayesian-optimisation/
- https://jmhessel.github.io/Bayesian-Optimization/
- https://arimo.com/data-science/2016/bayesian-optimization-hyperparameter-tuning/
- https://dhnzl.files.wordpress.com/2016/12/fuzzymad2016_bo_pdf.pdf
- http://blog.revolutionanalytics.com/2016/06/bayesian-optimization-of-machine-learning-models.html
- Jeoffrey Hinton (https://www.youtube.com/watch?v=cWQDeB9WqvU)
- https://nlpers.blogspot.nl/2014/10/hyperparameter-search-bayesian.html
- http://neupy.com/2016/12/17/hyperparameter_optimization_for_neural_networks.html
- Siraj Raval (https://github.com/llSourcell/hyperparameter_optimization_strategies)
- Pytorch Uncertainty Implementations(https://github.com/napsternxg/pytorch-practice)