Convergence of Proximal-Gradient Stochastic Variational Inference under Non-Decreasing Step-Size Sequence.
Mohammad Emtiyaz KhanReza BabanezhadWu LinMark SchmidtMasashi SugiyamaPublished in: CoRR (2015)
Keyphrases
- step size
- convergence rate
- variational inference
- convergence speed
- steepest descent method
- gradient method
- variable step size
- bayesian inference
- cost function
- topic models
- mixture model
- probabilistic model
- variational methods
- closed form
- probabilistic graphical models
- differential evolution
- posterior distribution
- latent dirichlet allocation
- wavelet coefficients
- gaussian process
- exact inference
- exponential family
- monte carlo
- evolutionary algorithm
- pso algorithm
- neural network
- co occurrence
- feature vectors
- pairwise
- genetic algorithm