A Linearly Convergent Douglas-Rachford Splitting Solver for Markovian Information-Theoretic Optimization Problems.
Teng-Hui HuangAly El GamalHesham El GamalPublished in: CoRR (2022)
Keyphrases
- information theoretic
- optimization problems
- operator splitting
- information theory
- evolutionary algorithm
- mutual information
- theoretic framework
- cost function
- douglas rachford splitting
- information theoretic measures
- information bottleneck
- objective function
- jensen shannon divergence
- variational methods
- convex optimization
- partial differential equations
- optic flow
- missing data
- curve evolution
- multiscale
- similarity measure