Deep Learning for Computing Convergence Rates of Markov Chains.
Yanlin QuJose H. BlanchetPeter W. GlynnPublished in: CoRR (2024)
Keyphrases
- markov chain
- deep learning
- convergence rate
- steady state
- finite state
- transition probabilities
- unsupervised feature learning
- unsupervised learning
- markov processes
- learning rate
- probabilistic automata
- machine learning
- random walk
- weakly supervised
- state space
- transition matrix
- mental models
- objective function
- maximum likelihood
- pairwise
- reinforcement learning