Machine-learning-assisted Monte Carlo fails at sampling computationally hard problems.
Simone CiarellaJeanne TrinquierMartin WeigtFrancesco ZamponiPublished in: Mach. Learn. Sci. Technol. (2023)
Keyphrases
- monte carlo
- machine learning
- computationally hard problems
- importance sampling
- adaptive sampling
- markov chain
- monte carlo simulation
- monte carlo tree search
- monte carlo methods
- conditional density estimation
- stochastic approximation
- feature selection
- variance reduction
- particle filter
- decision trees
- learning tasks
- point processes
- support vector machine
- matrix inversion
- learning algorithm
- markovian decision
- global illumination
- stochastic local search
- text classification
- active learning
- genetic algorithm