On Sparse, Spectral and Other Parameterizations of Binary Probabilistic Models.
David BuchmanMark SchmidtShakir MohamedDavid PooleNando de FreitasPublished in: AISTATS (2012)
Keyphrases
- probabilistic model
- graphical models
- generative model
- latent variables
- conditional random fields
- spectral analysis
- language model
- sparse data
- bayesian inference
- expectation maximization
- compressive sensing
- non binary
- sparse coding
- spectral decomposition
- high dimensional
- neural network
- information extraction
- compressed sensing
- probabilistic modeling
- binary matrices