Langevin Dynamics with Continuous Tempering for High-dimensional Non-convex Optimization.
Nanyang YeZhanxing ZhuRafal K. MantiukPublished in: CoRR (2017)
Keyphrases
- convex optimization
- high dimensional
- bayesian inference
- restricted boltzmann machine
- markov chain monte carlo
- total variation
- low dimensional
- dimensionality reduction
- convex optimization problems
- deep learning
- probabilistic model
- feature space
- bayesian framework
- markov random field
- denoising
- multiscale
- feature selection
- machine learning