Bayes Nonparametric的阅读计划

因为Project的关系,准备系统的阅读一下NB有关的paper。计划是从1973年的Ferguson的那篇Dirichlet process开始,到stick-breaking construction以及infinite mixture model,再到Chinese restaurant process和 Indian buffet process,再到现在的一些新的模型和推广。中间会看一些Radford大神关于DP mixture的经典算法,包括conjugate和non-conjugate的情形。另外,计划应该还会涉及一些topic model和unsupervised learning有关的文章,以及Determinant point process有关的模型。目标有二:改进现在的Factor analysis方法,让结果更容易解释;二是以后听别人讲的时候不让自己显得像笨蛋。

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