Deep Tractable Probabilistic Models.
Sahil SidheekhSaurabh MathurAthresh KaranamSriraam NatarajanPublished in: COMAD/CODS (2024)
Keyphrases
- probabilistic model
- graphical models
- latent variables
- deep belief networks
- generative model
- expectation maximization
- conditional random fields
- bayesian inference
- mixture model
- language model
- conditional probabilities
- hidden variables
- probabilistic modeling
- data sets
- np complete
- markov networks
- deep learning
- neural network
- computational problems
- belief nets
- computationally tractable
- topic models
- probability distribution
- np hard
- expert systems
- bayesian networks