Generalizing Hamiltonian Monte Carlo with Neural Networks.
Daniel LevyMatthew D. HoffmanJascha Sohl-DicksteinPublished in: ICLR (Poster) (2018)
Keyphrases
- monte carlo
- neural network
- markov chain
- monte carlo simulation
- importance sampling
- monte carlo methods
- markovian decision
- particle filter
- monte carlo tree search
- simulation study
- genetic algorithm
- artificial neural networks
- adaptive sampling
- point processes
- matrix inversion
- policy evaluation
- stochastic approximation
- global illumination
- markov chain monte carlo
- monte carlo method
- variance reduction
- associative memory
- sample size
- frequency domain
- computational cost
- machine learning