Lawrence M. Murray

16 papers A 2Misc 1Journal 12Unranked 1

Year	Rank	Type	Title / 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