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06/26/2020
Anytime Parallel Tempering
Developing efficient and scalable Markov chain Monte Carlo (MCMC) algori...
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01/09/2020
Lazy object copy as a platform for population-based probabilistic programming
This work considers dynamic memory management for population-based proba...
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10/21/2019
Particle filter with rejection control and unbiased estimator of the marginal likelihood
We consider the combined use of resampling and partial rejection control...
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07/10/2019
Probabilistic programming for birth-death models of evolution using an alive particle filter with delayed sampling
We consider probabilistic programming for birth-death models of evolutio...
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12/18/2018
Automatic Alignment of Sequential Monte Carlo Inference in Higher-Order Probabilistic Programs
Probabilistic programming is a programming paradigm for expressing flexi...
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10/02/2018
Automated learning with a probabilistic programming language: Birch
This work offers a broad perspective on probabilistic modeling and infer...
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08/25/2017