Interpreting latent variables in factor models via convex optimization.
Armeen TaebVenkat ChandrasekaranPublished in: Math. Program. (2018)
Keyphrases
- convex optimization
- latent variables
- structured prediction
- probabilistic model
- latent variable models
- hidden variables
- prior knowledge
- gaussian process
- primal dual
- total variation
- random variables
- posterior distribution
- multiscale
- bayesian framework
- generative model
- approximate inference
- denoising
- max margin
- convex optimization problems