Context-aware surrogate modeling for balancing approximation and sampling costs in multi-fidelity importance sampling and Bayesian inverse problems.
Terrence AlsupBenjamin PeherstorferPublished in: CoRR (2020)
Keyphrases
- importance sampling
- context aware
- inverse problems
- monte carlo
- markov chain monte carlo
- posterior distribution
- kalman filter
- markov chain
- context awareness
- mobile devices
- image reconstruction
- particle filter
- global optimization
- convex optimization
- approximate inference
- particle filtering
- context aware systems
- optimization methods
- early vision
- high quality
- distributed intelligent
- bayesian inference
- posterior probability
- latent variables
- parameter estimation
- optimization problems
- bayesian networks
- hyperparameters