A Low-Rank Technique for Computing the Quasi-Stationary Distribution of Subcritical Galton-Watson Processes.
Sophie HautphenneStefano MasseiPublished in: SIAM J. Matrix Anal. Appl. (2020)
Keyphrases
- low rank
- stationary distribution
- markov chain
- matrix factorization
- missing data
- convex optimization
- random walk
- linear combination
- low rank matrix
- high dimensional data
- semi supervised
- rank minimization
- matrix completion
- queue length
- queueing networks
- singular value decomposition
- transition probabilities
- initial state
- high order
- steady state
- sufficient conditions
- data sets
- low dimensional
- collaborative filtering
- least squares
- multiresolution
- trace norm
- dimensionality reduction
- data analysis
- feature extraction