Radford M. Neal

35 papers A 1B 1Journal 23Unranked 6

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Efficiency of reversible MCMC methods: elementary derivations and applications to composite methods. J. Appl. Probab. Radford M. Neal, Jeffrey S. Rosenthal
2020	J	`jnl`	Non-reversibly updating a uniform [0, 1] value for Metropolis accept/reject decisions. CoRR Radford M. Neal
2015	J	`jnl`	Fast exact summation using small and large superaccumulators. CoRR Radford M. Neal
2015	J	`jnl`	Representing numeric data in 32 bits while preserving 64-bit precision. CoRR Radford M. Neal
2014	J	`jnl`	Split Hamiltonian Monte Carlo. Stat. Comput. Babak Shahbaba, Shiwei Lan, Wesley O. Johnson, Radford M. Neal
2013	J	`jnl`	Inference for Belief Networks Using Coupling From the Past CoRR Michael Harvey, Radford M. Neal
2012	J	`jnl`	Gaussian Process Regression with Heteroscedastic or Non-Gaussian Residuals CoRR Chunyi Wang, Radford M. Neal
2011	J	`jnl`	On Deducing Conditional Independence from d-Separation in Causal Graphs with Feedback (Research Note) CoRR Radford M. Neal
2009	J	`jnl`	Nonlinear Models Using Dirichlet Process Mixtures. J. Mach. Learn. Res. Babak Shahbaba, Radford M. Neal
2007	J	`jnl`	Difference detection in LC-MS data for protein biomarker discovery. Bioinform. Jennifer Listgarten, Radford M. Neal, Sam T. Roweis, Peter Wong, Andrew Emili
2007	J	`jnl`	Pattern Recognition and Machine Learning. Technometrics Radford M. Neal
2006	—	`conf`	Bayesian Detection of Infrequent Differences in Sets of Time Series with Shared Structure. NIPS Jennifer Listgarten, Radford M. Neal, Sam T. Roweis, Rachel Puckrin, Sean Cutler
2006	J	`jnl`	Gene function classification using Bayesian models with hierarchy-based priors. BMC Bioinform. Babak Shahbaba, Radford M. Neal
2006	—	`ch.`	High Dimensional Classification with Bayesian Neural Networks and Dirichlet Diffusion Trees. Feature Extraction Radford M. Neal, Jianguo Zhang
2006	—	`conf`	Modeling Dyadic Data with Binary Latent Factors. NIPS Edward Meeds, Zoubin Ghahramani, Radford M. Neal, Sam T. Roweis
2005	—	`conf`	Classification with Bayesian Neural Networks. MLCW Radford M. Neal
2004	—	`conf`	Multiple Alignment of Continuous Time Series. NIPS Jennifer Listgarten, Radford M. Neal, Sam T. Roweis, Andrew Emili
2003	—	`conf`	Inferring State Sequences for Non-linear Systems with Embedded Hidden Markov Models. NIPS Radford M. Neal, Matthew J. Beal, Sam T. Roweis
2001	J	`jnl`	Annealed importance sampling. Stat. Comput. Radford M. Neal
2000	A	`conf`	Inference for Belief Networks Using Coupling From the Past. UAI Michael Harvey, Radford M. Neal
2000	J	`jnl`	On Deducing Conditional Independence from d-Separation in Causal Graphs with Feedback (Research Note). J. Artif. Intell. Res. Radford M. Neal
1998	—	`ch.`	A View of the Em Algorithm that Justifies Incremental, Sparse, and other Variants. Learning in Graphical Models Radford M. Neal, Geoffrey E. Hinton
1998	J	`jnl`	Arithmetic Coding Revisited. ACM Trans. Inf. Syst. Alistair Moffat, Radford M. Neal, Ian H. Witten
1998	—	`ch.`	Suppressing Random Walks in Markov Chain Monte Carlo Using Ordered Overrelaxation. Learning in Graphical Models Radford M. Neal
1997	J	`jnl`	Factor Analysis Using Delta-Rule Wake-Sleep Learning. Neural Comput. Radford M. Neal, Peter Dayan
1996	J	`jnl`	Sampling from multimodal distributions using tempered transitions. Stat. Comput. Radford M. Neal
1995	B	`conf`	Arithmetic Coding Revisited. Data Compression Conference Alistair Moffat, Radford M. Neal, Ian H. Witten
1995	—	`—`	Bayesian learning for neural networks. Radford M. Neal
1995	J	`jnl`	The Helmholtz machine. Neural Comput. Peter Dayan, Geoffrey E. Hinton, Radford M. Neal, Richard S. Zemel
1993	J	`jnl`	Comments on 'A theoretical analysis of Monte Carlo algorithms for the simulation of Gibbs random field images'. IEEE Trans. Inf. Theory Radford M. Neal
1992	J	`jnl`	Asymmetric Parallel Boltzmann Machines are Belief Networks. Neural Comput. Radford M. Neal
1992	—	`conf`	Bayesian Learning via Stochastic Dynamics. NIPS Radford M. Neal
1992	J	`jnl`	Connectionist Learning of Belief Networks. Artif. Intell. Radford M. Neal
1987	J	`jnl`	Arithmetic Coding for Data Compression. Commun. ACM Ian H. Witten, Radford M. Neal, John G. Cleary
1983	J	`jnl`	Jade: A Distributed Software Prototyping Environment. ACM SIGOPS Oper. Syst. Rev. 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