Hacker News
- Bayesian Neural Networks https://www.cs.toronto.edu/~duvenaud/distill_bayes_net/public/ 54 comments
- A Sober Look at Bayesian Neural Networks https://jacobbuckman.com/2020-01-17-a-sober-look-at-bayesian-neural-networks/ 45 comments
- Scalable Bayesian Optimization Using Deep Neural Networks http://arxiv.org/abs/1502.05700 3 comments
- Making a neural network say “I Don’t Know”: Bayesian NNs using Pyro and PyTorch https://towardsdatascience.com/making-your-neural-network-say-i-dont-know-bayesian-nns-using-pyro-and-pytorch-b1c24e6ab8cd 46 comments
- Guide to Bayesian Convolutional Neural Network with Variational Inference (2019) https://arxiv.org/abs/1901.02731 3 comments
- [2104.14421] What Are Bayesian Neural Network Posteriors Really Like? https://arxiv.org/abs/2104.14421 13 comments machinelearning
- Bayesian Neural Networks: Outline and Derivations https://www.youtube.com/watch?v=z5mbBOchTpc 3 comments learnmachinelearning
- [R] Practical Bayesian Learning of Neural Networks via Adaptive Subgradient Methods https://arxiv.org/abs/1811.03679 21 comments reinforcementlearning
- Taking a Bayesian Approach to the 2025 Free Agent Class: From Bayesian Neural Networks to Sharpe Ratios https://community.fangraphs.com/projecting-risk-in-major-league-baseball-a-bayesian-approach/ 3 comments baseball
- Geoffrey Hinton, known for his contributions to Bayesian Brain hypotheses, is hosting a free class on Neural Networks [cross post from r/cogsci] https://www.coursera.org/course/neuralnets 7 comments programming