A Unified Perspective on Natural Gradient Variational Inference with Gaussian Mixture Models.
Oleg ArenzPhilipp DahlingerZihan YeMichael VolppGerhard NeumannPublished in: Trans. Mach. Learn. Res. (2023)
Keyphrases
- variational inference
- gaussian mixture model
- mixture model
- probabilistic model
- em algorithm
- bayesian inference
- generative model
- density estimation
- expectation maximization
- language model
- unsupervised learning
- exponential family
- topic models
- maximum likelihood
- model selection
- latent dirichlet allocation
- gaussian distribution
- variational methods
- gaussian process
- closed form
- probability density function
- feature space
- information retrieval
- blind source separation
- posterior distribution
- feature vectors
- multiscale
- supervised learning
- data mining
- graphical models
- machine learning