Towards Convergence Rates for Parameter Estimation in Gaussian-gated Mixture of Experts.
Huy NguyenTrungTin NguyenKhai NguyenNhat HoPublished in: AISTATS (2024)
Keyphrases
- parameter estimation
- convergence rate
- maximum likelihood
- expectation maximization
- gaussian distribution
- em algorithm
- markov fields
- gaussian mixture
- mixture model
- gaussian mixture model
- gaussian model
- model selection
- gaussian kernels
- random fields
- covariance matrices
- learning rate
- least squares
- maximum likelihood estimation
- posterior distribution
- maximum likelihood estimates
- markov random field
- approximate inference
- parameter values
- density estimation
- probabilistic model
- image processing
- parameter estimation algorithm
- gaussian kernel
- primal dual
- parameter estimates
- estimation problems
- generative model
- reinforcement learning
- image sequences