What can be estimated? Identifiability, estimability, causal inference and ill-posed inverse problems.
Oliver J. MaclarenRuanui NicholsonPublished in: CoRR (2019)
Keyphrases
- inverse problems
- causal inference
- causal models
- image reconstruction
- global optimization
- convex optimization
- causal discovery
- additive noise
- optimization methods
- optimization problems
- nonmonotonic reasoning
- discrete data
- partial differential equations
- rare events
- abductive reasoning
- early vision
- directed acyclic graph
- observational data
- smoothness constraint
- genetic algorithm
- natural images
- optimization method
- computationally expensive
- object recognition