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Measuring the non-asymptotic convergence of sequential Monte Carlo samplers using probabilistic programming.
Marco F. Cusumano-Towner
Vikash K. Mansinghka
Published in:
CoRR (2016)
Keyphrases
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asymptotic convergence
sequential monte carlo
particle filter
visual tracking
probabilistic model
bayesian networks
posterior probability
particle swarm algorithm
generative model
bayesian inference
genetic algorithm ga
kalman filter
particle filtering
importance sampling
natural gradient