Learning Topic Models: Identifiability and Finite-Sample Analysis.
Yinyin ChenShishuang HeYun YangFeng LiangPublished in: CoRR (2021)
Keyphrases
- finite sample
- topic models
- sample size
- learning algorithm
- reinforcement learning
- supervised learning
- learning tasks
- unsupervised learning
- learning problems
- statistical learning theory
- uniform convergence
- data analysis
- learning process
- active learning
- nearest neighbor
- error bounds
- generalization error
- bayesian networks