ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2001.05293
  4. Cited By
Lazy object copy as a platform for population-based probabilistic
  programming

Lazy object copy as a platform for population-based probabilistic programming

9 January 2020
Lawrence M. Murray
ArXivPDFHTML

Papers citing "Lazy object copy as a platform for population-based probabilistic programming"

6 / 6 papers shown
Title
Parameter elimination in particle Gibbs sampling
Parameter elimination in particle Gibbs sampling
A. Wigren
Riccardo Sven Risuleo
Lawrence M. Murray
Fredrik Lindsten
64
15
0
30 Oct 2019
Pyro: Deep Universal Probabilistic Programming
Pyro: Deep Universal Probabilistic Programming
Eli Bingham
Jonathan P. Chen
M. Jankowiak
F. Obermeyer
Neeraj Pradhan
Theofanis Karaletsos
Rohit Singh
Paul A. Szerlip
Paul Horsfall
Noah D. Goodman
BDL
GP
90
1,043
0
18 Oct 2018
Automated learning with a probabilistic programming language: Birch
Automated learning with a probabilistic programming language: Birch
Lawrence M. Murray
Thomas B. Schon
32
62
0
02 Oct 2018
TensorFlow Distributions
TensorFlow Distributions
Joshua V. Dillon
I. Langmore
Dustin Tran
E. Brevdo
Srinivas Vasudevan
David A. Moore
Brian Patton
Alexander A. Alemi
Matt Hoffman
Rif A. Saurous
GP
79
349
0
28 Nov 2017
Variational Sequential Monte Carlo
Variational Sequential Monte Carlo
C. A. Naesseth
Scott W. Linderman
Rajesh Ranganath
David M. Blei
BDL
133
214
0
31 May 2017
Bayesian State-Space Modelling on High-Performance Hardware Using LibBi
Bayesian State-Space Modelling on High-Performance Hardware Using LibBi
Lawrence M. Murray
63
112
0
14 Jun 2013
1