# Radford M. Neal

According to our database

Collaborative distances:

^{1}, Radford M. Neal authored at least 29 papers between 1983 and 2015.Collaborative distances:

## Timeline

#### Legend:

Book In proceedings Article PhD thesis Other## Links

#### Homepages:

#### On csauthors.net:

## Bibliography

2015

Fast exact summation using small and large superaccumulators.

CoRR, 2015

Representing numeric data in 32 bits while preserving 64-bit precision.

CoRR, 2015

2014

Split Hamiltonian Monte Carlo.

Statistics and Computing, 2014

2013

Inference for Belief Networks Using Coupling From the Past

CoRR, 2013

2012

Gaussian Process Regression with Heteroscedastic or Non-Gaussian Residuals

CoRR, 2012

2011

On Deducing Conditional Independence from d-Separation in Causal Graphs with Feedback (Research Note)

CoRR, 2011

2009

Nonlinear Models Using Dirichlet Process Mixtures.

Journal of Machine Learning Research, 2009

2007

Pattern Recognition and Machine Learning.

Technometrics, 2007

Difference detection in LC-MS data for protein biomarker discovery.

Bioinformatics, 2007

2006

Gene function classification using Bayesian models with hierarchy-based priors.

BMC Bioinformatics, 2006

Modeling Dyadic Data with Binary Latent Factors.

Proceedings of the Advances in Neural Information Processing Systems 19, 2006

Bayesian Detection of Infrequent Differences in Sets of Time Series with Shared Structure.

Proceedings of the Advances in Neural Information Processing Systems 19, 2006

2005

Classification with Bayesian Neural Networks.

Proceedings of the Machine Learning Challenges, 2005

2004

Multiple Alignment of Continuous Time Series.

Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

2003

Inferring State Sequences for Non-linear Systems with Embedded Hidden Markov Models.

Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003

2001

Annealed importance sampling.

Statistics and Computing, 2001

2000

On Deducing Conditional Independence from d-Separation in Causal Graphs with Feedback (Research Note).

J. Artif. Intell. Res., 2000

Inference for Belief Networks Using Coupling From the Past.

Proceedings of the UAI '00: Proceedings of the 16th Conference in Uncertainty in Artificial Intelligence, Stanford University, Stanford, California, USA, June 30, 2000

1998

Arithmetic Coding Revisited.

ACM Trans. Inf. Syst., 1998

1997

Factor Analysis Using Delta-Rule Wake-Sleep Learning.

Neural Computation, 1997

1996

Sampling from multimodal distributions using tempered transitions.

Statistics and Computing, 1996

1995

The Helmholtz machine.

Neural Computation, 1995

Arithmetic Coding Revisited.

Proceedings of the IEEE Data Compression Conference, 1995

1993

Comments on 'A theoretical analysis of Monte Carlo algorithms for the simulation of Gibbs random field images'.

IEEE Trans. Information Theory, 1993

1992

Asymmetric Parallel Boltzmann Machines are Belief Networks.

Neural Computation, 1992

Connectionist Learning of Belief Networks.

Artif. Intell., 1992

Bayesian Learning via Stochastic Dynamics.

Proceedings of the Advances in Neural Information Processing Systems 5, [NIPS Conference, Denver, Colorado, USA, November 30, 1992

1987

Arithmetic Coding for Data Compression.

Commun. ACM, 1987

1983

Jade: A Distributed Software Prototyping Environment.

Operating Systems Review, 1983