Lawrence M. Murray

16 papers A 2Misc 1Journal 12Unranked 1
YearRankTypeTitle / Venue / Authors
2021 J jnl
Anytime parallel tempering.
Stat. Comput.
Alix Marie d'Avigneau, Sumeetpal S. Singh, Lawrence M. Murray
2020 J jnl
Adapting a home telemonitoring intervention for underserved Hispanic/Latino patients with type 2 diabetes: an acceptability and feasibility study.
BMC Medical Informatics Decis. Mak.
Renee Pekmezaris, Myia S. Williams, Briana Pascarelli, Kayla Finuf, Yael T. Harris, Alyson K. Myers, Tonya N. Taylor, Myriam Kline, Vidhi H. Patel, Lawrence M. Murray, Samy I. McFarlane, Karalyn Pappas, Martin L. Lesser, Amgad N. Makaryus, Sabrina Martinez, Andrjez Kozikowski, Jennifer Polo, Josephine Guzman, Roman Zeltser, Jose Marino, Maria Pena, Ralph J. DiClemente, Dilcia Granville
2020 J jnl
Lazy object copy as a platform for population-based probabilistic programming.
CoRR
Lawrence M. Murray
2020 Misc conf
Particle Filter with Rejection Control and Unbiased Estimator of the Marginal Likelihood.
ICASSP
Jan Kudlicka, Lawrence M. Murray, Thomas B. Schön, Fredrik Lindsten
2019 A conf
Probabilistic Programming for Birth-Death Models of Evolution Using an Alive Particle Filter with Delayed Sampling.
UAI
Jan Kudlicka, Lawrence M. Murray, Fredrik Ronquist, Thomas B. Schön
2018 J jnl
Automated learning with a probabilistic programming language: Birch.
Annu. Rev. Control.
Lawrence M. Murray, Thomas B. Schön
2018 J jnl
Automated learning with a probabilistic programming language: Birch.
CoRR
Lawrence M. Murray, Thomas B. Schön
2018 J jnl
Automatic Alignment of Sequential Monte Carlo Inference in Higher-Order Probabilistic Programs.
CoRR
Daniel Lundén, David Broman, Fredrik Ronquist, Lawrence M. Murray
2018 A conf
Delayed Sampling and Automatic Rao-Blackwellization of Probabilistic Programs.
AISTATS
Lawrence M. Murray, Daniel Lundén, Jan Kudlicka, David Broman, Thomas B. Schön
2017 J jnl
Probabilistic learning of nonlinear dynamical systems using sequential Monte Carlo.
CoRR
Thomas B. Schön, Andreas Svensson, Lawrence M. Murray, Fredrik Lindsten
2015 J jnl
Path storage in the particle filter.
Stat. Comput.
Pierre E. Jacob, Lawrence M. Murray, Sylvain Rubenthaler
2015 J jnl
Sequential Monte Carlo with Highly Informative Observations.
SIAM/ASA J. Uncertain. Quantification
Pierre Del Moral, Lawrence M. Murray
2013 J jnl
On Disturbance State-Space Models and the Particle Marginal Metropolis-Hastings Sampler.
SIAM/ASA J. Uncertain. Quantification
Lawrence M. Murray, Emlyn M. Jones, John S. Parslow
2013 J jnl
Rethinking resampling in the particle filter on graphics processing units
CoRR
Lawrence M. Murray, Anthony Lee, Pierre E. Jacob
2011 J jnl
High-Performance Pseudo-Random Number Generation on Graphics Processing Units
CoRR
Nimalan Nandapalan, Richard P. Brent, Lawrence M. Murray, Alistair P. Rendell
2011 — conf
High-Performance Pseudo-Random Number Generation on Graphics Processing Units.
PPAM (1)
Nimalan Nandapalan, Richard P. Brent, Lawrence M. Murray, Alistair P. Rendell