[NLP#5] Bayesian Model and NLP

1. 概率图模型与条件独立

2. Markov Blanket

3. Dirichlet分布、Multinomial分布

4. Beta分布、Conjugate Prior回顾

5. Detail Balance

6. 主题模型详解

7. MCMC与吉布斯采样

8. 主题模型与Collapsed Gibbs Sampling

9. Metropolis Hasting, Rejection Sampling

10. Langevin Dyamics与SGLD

11. 分布式SGLD与主题模型

12. Dynamic Topic Model

13. Supervised Topic Model

14. KL Divergence与ELBO

15. Variantional Inference, Stochastic VI

16. 主题模型与变分法

17. Nonparametric Models

18. Dirichlet Process

19. Chinese Restarant Process

20. Bayesian Deep Neural Network

21. VAE与Reparametrization trick

22. Bayesian RNN/LSTM

23. Bayesian Word2Vec

24. MMSB