Radford M. Neal

Publication Activity (10 Years)

Years Active: 1983-2020
Publications (10 Years): 3

Top Topics

Belief Networks

Top Venues

Publications

Radford M. Neal
Non-reversibly updating a uniform [0, 1] value for Metropolis accept/reject decisions. CoRR (2020)
Radford M. Neal
Fast exact summation using small and large superaccumulators. CoRR (2015)
Radford M. Neal
Representing numeric data in 32 bits while preserving 64-bit precision. CoRR (2015)
Babak Shahbaba, Shiwei Lan, Wesley O. Johnson, Radford M. Neal
Split Hamiltonian Monte Carlo. Stat. Comput. 24 (3) (2014)
Michael Harvey, Radford M. Neal
Inference for Belief Networks Using Coupling From the Past CoRR (2013)
Chunyi Wang, Radford M. Neal
Gaussian Process Regression with Heteroscedastic or Non-Gaussian Residuals CoRR (2012)
Radford M. Neal
On Deducing Conditional Independence from d-Separation in Causal Graphs with Feedback (Research Note) CoRR (2011)
Babak Shahbaba, Radford M. Neal
Nonlinear Models Using Dirichlet Process Mixtures. J. Mach. Learn. Res. 10 (2009)
Radford M. Neal
Pattern Recognition and Machine Learning. Technometrics 49 (3) (2007)
Jennifer Listgarten, Radford M. Neal, Sam T. Roweis, Peter Wong, Andrew Emili
Difference detection in LC-MS data for protein biomarker discovery. Bioinform. 23 (2) (2007)
Jennifer Listgarten, Radford M. Neal, Sam T. Roweis, Rachel Puckrin, Sean Cutler
Bayesian Detection of Infrequent Differences in Sets of Time Series with Shared Structure. NIPS (2006)
Edward Meeds, Zoubin Ghahramani, Radford M. Neal, Sam T. Roweis
Modeling Dyadic Data with Binary Latent Factors. NIPS (2006)
Babak Shahbaba, Radford M. Neal
Gene function classification using Bayesian models with hierarchy-based priors. BMC Bioinform. 7 (2006)
Radford M. Neal
Classification with Bayesian Neural Networks. MLCW (2005)
Jennifer Listgarten, Radford M. Neal, Sam T. Roweis, Andrew Emili
Multiple Alignment of Continuous Time Series. NIPS (2004)
Radford M. Neal, Matthew J. Beal, Sam T. Roweis
Inferring State Sequences for Non-linear Systems with Embedded Hidden Markov Models. NIPS (2003)
Radford M. Neal
Annealed importance sampling. Stat. Comput. 11 (2) (2001)
Michael Harvey, Radford M. Neal
Inference for Belief Networks Using Coupling From the Past. UAI (2000)
Radford M. Neal
On Deducing Conditional Independence from d-Separation in Causal Graphs with Feedback (Research Note). J. Artif. Intell. Res. 12 (2000)
Alistair Moffat, Radford M. Neal, Ian H. Witten
Arithmetic Coding Revisited. ACM Trans. Inf. Syst. 16 (3) (1998)
Radford M. Neal, Peter Dayan
Factor Analysis Using Delta-Rule Wake-Sleep Learning. Neural Comput. 9 (8) (1997)
Radford M. Neal
Sampling from multimodal distributions using tempered transitions. Stat. Comput. 6 (4) (1996)
Peter Dayan, Geoffrey E. Hinton, Radford M. Neal, Richard S. Zemel
The Helmholtz machine. Neural Comput. 7 (5) (1995)
Alistair Moffat, Radford M. Neal, Ian H. Witten
Arithmetic Coding Revisited. Data Compression Conference (1995)
Radford M. Neal
Comments on 'A theoretical analysis of Monte Carlo algorithms for the simulation of Gibbs random field images'. IEEE Trans. Inf. Theory 39 (1) (1993)
Radford M. Neal
Asymmetric Parallel Boltzmann Machines are Belief Networks. Neural Comput. 4 (6) (1992)
Radford M. Neal
Connectionist Learning of Belief Networks. Artif. Intell. 56 (1) (1992)
Radford M. Neal
Bayesian Learning via Stochastic Dynamics. NIPS (1992)
Ian H. Witten, Radford M. Neal, John G. Cleary
Arithmetic Coding for Data Compression. Commun. ACM 30 (6) (1987)
Ian H. Witten, Graham M. Birtwistle, John G. Cleary, David R. Hill, Danny Levinson, Greg Lomow, Radford M. Neal, Murray Peterson, Brian W. Unger, Brian Wyvill
Jade: A Distributed Software Prototyping Environment. ACM SIGOPS Oper. Syst. Rev. 17 (3) (1983)