A Linearly Convergent Douglas-Rachford Splitting Solver for Markovian Information-Theoretic Optimization Problems.
Teng-Hui HuangAly El GamalHesham El GamalPublished in: IEEE Trans. Inf. Theory (2023)
Keyphrases
- information theoretic
- optimization problems
- operator splitting
- information theory
- mutual information
- evolutionary algorithm
- douglas rachford splitting
- convex optimization
- theoretic framework
- information bottleneck
- cost function
- objective function
- information theoretic measures
- jensen shannon divergence
- image registration
- partial differential equations
- alternating direction method of multipliers
- feature vectors
- similarity measure