Lawrence M. Murray
Research Papers
Probabilistic Programming for Birth-Death Models of Evolution Using an Alive Particle Filter with Delayed Sampling
J. Kudlicka, L. M. Murray, F. Ronquist, T. B. Schön
We consider probabilistic programming for birth-death models of evolution and introduce a new widely-applicable inference method that combines an extension of the alive particle filter (APF) with automatic Rao-Blackwellization via delayed sampling. [...] [PDF]
Conference on Uncertainty in Artificial Intelligence (UAI), 2019
We consider probabilistic programming for birth-death models of evolution and introduce a new widely-applicable inference method that combines an extension of the alive particle filter (APF) with automatic Rao-Blackwellization via delayed sampling. [...] [PDF]
Conference on Uncertainty in Artificial Intelligence (UAI), 2019
