Optimal Continuous DR-Submodular Maximization and Applications to Provable Mean Field Inference.
Yatao An BianJoachim M. BuhmannAndreas KrausePublished in: ICML (2019)
Keyphrases
- belief networks
- bayesian inference
- objective function
- closed form
- dynamic programming
- bayesian networks
- loopy belief propagation
- variational inference
- variational approximation
- probabilistic model
- worst case
- markov random field
- greedy algorithm
- energy minimization
- probabilistic inference
- optimal control
- piecewise linear
- structured prediction