1.变分推断(Variational Inference)
1.1.分解概率分布(Factorized distributions)
1.2.分解近似的性质(Properties of factorized approximations)
1.3.例子:一元高斯分布(Example: The univariate Gaussian)
1.4.模型比较(Model comparition)
2.例子:高斯的变分混合(Illustration Variational Mixture of Gaussions)
3.变分线性回归(Variaional Linear Regression)
4.指数族分布(Exponential Family Distributions)
5.局部变分方法(Local Variational Methods)
6.变分logistic回归(Variatinal Logistic Regression)
7.期望传播(Expectation Propagation)