Prediction and Prevention of Pandemics via Graphical Model Inference and Convex Programming.
Mikhail KrechetovAmir Mohammad Esmaieeli SikaroudiAlon EfratValentin PolishchukMichael ChertkovPublished in: CoRR (2021)
Keyphrases
- graphical models
- convex programming
- probabilistic inference
- exact inference
- map inference
- factor graphs
- belief networks
- bayesian networks
- belief propagation
- undirected graphical models
- approximate inference
- linear programming
- efficient inference algorithms
- probabilistic model
- random variables
- nonparametric belief propagation
- convex optimization
- probabilistic graphical models
- interior point methods
- directed graphical models
- markov networks
- conditional random fields
- semidefinite programming
- primal dual
- bayesian inference
- machine learning
- structured prediction
- particle filter
- dynamic bayesian networks
- conditional probabilities