Asynchronous Anytime Sequential Monte Carlo

10 July 2014

Papers citing "Asynchronous Anytime Sequential Monte Carlo"

20 / 20 papers shown

Title
An invitation to sequential Monte Carlo samplers Chenguang Dai J. Heng Pierre E. Jacob N. Whiteley 134 68 0 23 Jul 2020
Planning as Inference in Epidemiological Models Frank Wood Andrew Warrington Saeid Naderiparizi Christian D. Weilbach Vaden Masrani ... Adam Scibior Boyan Beronov John Grefenstette Duncan Campbell Alireza Nasseri 59 6 0 30 Mar 2020
Stochastically Differentiable Probabilistic Programs David Tolpin Yuanshuo Zhou Hongseok Yang BDL 39 0 0 02 Mar 2020
Deployable probabilistic programming David Tolpin TPM 104 7 0 20 Jun 2019
Neural Particle Smoothing for Sampling from Conditional Sequence Models Chu-cheng Lin Jason Eisner BDL 65 12 0 28 Apr 2018
Bayesian Optimization for Probabilistic Programs Tom Rainforth T. Le Jan-Willem van de Meent Michael A. Osborne Frank Wood TPM 72 27 0 13 Jul 2017
Particle MCMC with Poisson Resampling: Parallelization and Continuous Time Models M. Startek B. Miasojedow Wojciech Niemiro 123 0 0 06 Jul 2017
Smoothing with Couplings of Conditional Particle Filters Pierre E. Jacob Fredrik Lindsten Thomas B. Schon 138 55 0 08 Jan 2017
Anytime Monte Carlo Lawrence M. Murray Sumeetpal S. Singh Anthony Lee 91 6 0 10 Dec 2016
Inference Compilation and Universal Probabilistic Programming T. Le A. G. Baydin Frank Wood UQCV 219 143 0 31 Oct 2016
Post-Inference Prior Swapping Willie Neiswanger Eric Xing 26 1 0 02 Jun 2016
Marginalized Particle Filtering and Related Filtering Techniques as Message Passing G. Vitetta Emilio Sirignano Francesco Montorsi Matteo Sola 38 8 0 10 May 2016
An Adaptive Resample-Move Algorithm for Estimating Normalizing Constants Marco Fraccaro Ulrich Paquet Ole Winther 26 2 0 07 Apr 2016
Inference Networks for Sequential Monte Carlo in Graphical Models Brooks Paige Frank Wood BDL 175 110 0 22 Feb 2016
Adapting the Number of Particles in Sequential Monte Carlo Methods through an Online Scheme for Convergence Assessment Victor Elvira Joaquín Míguez Petar M. Djurić 87 71 0 16 Sep 2015
Optimization Monte Carlo: Efficient and Embarrassingly Parallel Likelihood-Free Inference Edward Meeds Max Welling 177 36 0 11 Jun 2015
Maximum a Posteriori Estimation by Search in Probabilistic Programs David Tolpin Frank Wood TPM 65 12 0 26 Apr 2015
Path Finding under Uncertainty through Probabilistic Inference David Tolpin Brooks Paige Jan-Willem van de Meent Frank Wood TPM 73 0 0 25 Feb 2015
Output-Sensitive Adaptive Metropolis-Hastings for Probabilistic Programs David Tolpin Jan-Willem van de Meent Brooks Paige Frank Wood 66 1 0 22 Jan 2015
Value Iteration with Options and State Aggregation K. Ciosek David Silver 58 11 0 16 Jan 2015