Divergence Frontiers for Generative Models: Sample Complexity, Quantization Level, and Frontier Integral.
Lang LiuKrishna PillutlaSean WelleckSewoong OhYejin ChoiZaïd HarchaouiPublished in: CoRR (2021)
Keyphrases
- generative model
- sample complexity
- probabilistic model
- theoretical analysis
- active learning
- upper bound
- discriminative models
- learning problems
- supervised learning
- lower bound
- generative and discriminative models
- semi supervised
- generalization error
- special case
- learning algorithm
- discriminative learning
- hierarchical hidden markov models
- sample size
- em algorithm
- prior knowledge
- computational complexity
- small number
- expectation maximization
- conditional random fields
- object recognition
- image processing