See also Bayesian Neural Networks
Resources đ
- A Beginnerâs Guide to Variational Methods Mean-Field Approximation
- A practical tutorial on Variational Bayes
- Variational Inference A Review for Statisticians
- 13: Variational inference II from 10-708: Probabilistic Graphical Models, Spring 2015 - Lecturer: Eric P. Xing Scribes: Ronghuo Zheng, Zhiting Hu, Yuntian Deng
- 12 : Variational Inference I from 10-708: Probabilistic Graphical Models, Spring 2015 - Lecturer: Eric P. Xing Scribes: Fattaneh Jabbari, Eric Lei, Evan Shapiro
- Variational Inference: Simply Explained (playlist)
- Introduction to KL-Divergence | Simple Example | with usage in TensorFlow Probability
- Calculus of Variations playlist from Faculty of Khan
- Structural Dynamics playlist from Good Vibrations with Freeball
- Good Vibrations with Freeball
See also đ Machine Learning for more resources.