Maximum Likelihood Constraint Inference from Stochastic Demonstrations.
David Livingston McPhersonKaylene C. StockingS. Shankar SastryPublished in: CoRR (2021)
Keyphrases
- maximum likelihood
- parameter estimation
- sum product
- inference process
- expectation maximization
- parameter learning
- boltzmann machines
- chance constraints
- tree grammars
- inference engine
- likelihood function
- efficient inference algorithms
- gaussian distribution
- maximum a posteriori
- em algorithm
- maximum likelihood estimation
- exponential family
- additive noise
- linear constraints
- monte carlo
- stochastic model
- variational bayes
- markov chain monte carlo
- maximum parsimony
- chance constrained
- neural network
- constraint networks
- hyperparameters
- bayesian inference
- graphical models
- bayesian networks