This document contains Henry's study notes on variational inference, probabilistic graphical models, point processes, and generative models.

1. 从狭义 EM 到变分自编码器

References: [《统计学习方法》（李航，第二版）], intermediate_vb, [Pattern Recognition and Machine Learning]

2. A Tutorial on Hawkes Processes for Events in Social Media

References: A Tutorial on Hawkes Processes for Events in Social Media

3. Supervised topic model

References: Supervised topic model

4. 深度强化学习笔记

References: 深度强化学习（王树森）

5. 雅思备考

References: 雅思资料, 百度网盘

6. 生成模型概览

References: Auto-Encoding Variational Bayes, Generative Adversarial Nets, Denoising Diffusion Probabilistic Models, Variational Inference with Normalizing Flows

7. 统计学习方法笔记

References: 简博士讲《统计学习方法》, [《统计学习方法》（李航，第二版）], 《统计学习方法》啃书手册