Slides From Talks by Radford Neal
These slides are mostly availabe in both PostScript and PDF formats.
- ``Probability and Anthropic Reasoning in
Small, Large, and Infinite Universes'', Conference on
Challenges for Early Universe Cosmology, Perimeter Institute,
July 2011:
PDF of slides (but note that much
of the talk was on the blackboard).
- ``New Monte Carlo Methods Based on Hamiltonian Dynamics'',
MaxEnt 2011, July 2011:
PDF.
- ``MCMC Using Ensembles of States with Application to
Gaussian Process Regression'', talk given at the University of Toronto
Dept. of Economics (2010-10-22) and Dept. of Computer Science (2010-11-15):
Postscript,
PDF.
- ``Nuisance Parameters and Other Issues in Searching for
Signals in High-Energy Physics Experiments'', Talk (remotely) at the
PHYSTAT-LHC Workshop
, June 2007: Postscript,
PDF.
- ``Short-Cut MCMC: An Alternative to Adaptation'', Talk at the Third
Workshop on Monte Carlo Methods, May 2007:
Postscript,
PDF.
- ``Constructing Efficient MCMC Methods Using Temporary Mapping and Caching'',
Talk at Columbia University, December 2006:
Postscript,
PDF.
- ``Estimation of Failure Probabilities Using Linked Importance Sampling'',
Workshop on Nonlinearlity and Randomness in Complex Systems,
SUNY at Buffalo, April 2006:
Postscript (0.4 MBytes),
PDF (4.7 MBytes).
- ``Hamiltonian Importance Sampling'', BIRS workshop on
Mathematical Issues in Molecular Dynamics, June 2005:
Postscript,
PDF.
- ``Creating Non-Gaussian Processes from Gaussian Processes
by the Log-Sum-Exp Approach'', talk to the U of T machine learning
group, February 2005:
Postscript,
PDF.
- NIPS*2004 tutorial on ``Bayesian Methods for Machine Learning'':
Postscript,
PDF.
- ``A New Proof of Peksun's Theorem Regarding the
Asymptotic Variance of MCMC Estimators'', poster at ISBA 2004,
Vina del Mar, Chile, May 2004:
postscript,
pdf.
- ``Classification for High Dimensional Problems Using Bayesian Neural
Networks and Dirichlet Diffusion Trees'',
NIPS*2003 Feature Selection Workshop,
Whistler, British Columbia, December 2003 (describing the winning entry):
pdf.
- ``Markov chain Monte Carlo computations
for Dirichlet diffusion trees'', NTOC 2001, Kyoto, December 2001:
postscript,
pdf.
- ``Survival analysis using a Bayesian
neural network'', Joint Statistical Meetings,
Atlanta, 2001:
postscript,
pdf.
- ``Monte Carlo decoding of LDPC codes'',
ICTP Workshop on Statistical Physics and
Capacity-Approaching Codes, May 2001:
postscript,
pdf.
- ``Circularly-coupled Markov chain sampling'',
April 2000:
postscript,
pdf. See also the
earlier technical report.
- ``Markov chain sampling using Hamiltonian
dynamics'', Joint Statistical Meetings, Baltimore, 1999:
postscript,
pdf.
- ``Faster encoding for low-density
parity check codes using sparse matrix methods'',
IMA workshop on Codes, Systems and
Graphical Models, Minneapolis, 1999:
postscript,
pdf.
- ``Tutorial on exact sampling methods'',
given 26 October 1998 during the
workshop
on Monte Carlo methods at the
Fields Institute:
postscript,
pdf.
- ``Improving Markov chain sampling by suppressing
random walks'', AMS-IMS-SIAM Joint Workshop on
Stochastic Inference, Monte Carlo, and Empirical Methods, July 1996:
postscript,
pdf.
Back to Radford Neal's home page