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SAC
2008
ACM
13 years 10 months ago
Metropolis-Hastings algorithms with adaptive proposals
Bo Cai, Renate Meyer, François Perron
UAI
2001
14 years 6 days ago
Markov Chain Monte Carlo using Tree-Based Priors on Model Structure
We present a general framework for defining priors on model structure and sampling from the posterior using the Metropolis-Hastings algorithm. The key ideas are that structure pri...
Nicos Angelopoulos, James Cussens
AMAI
2008
Springer
13 years 11 months ago
Bayesian learning of Bayesian networks with informative priors
This paper presents and evaluates an approach to Bayesian model averaging where the models are Bayesian nets (BNs). Prior distributions are defined using stochastic logic programs...
Nicos Angelopoulos, James Cussens
CALCO
2011
Springer
223views Mathematics» more  CALCO 2011»
12 years 10 months ago
On the Statistical Thermodynamics of Reversible Communicating Processes
Abstract. We propose a probabilistic interpretation of a class of reversible communicating processes. The rate of forward and backward computing steps, instead of being given expli...
Giorgio Bacci, Vincent Danos, Ohad Kammar
CEC
2010
IEEE
13 years 9 months ago
Gaussian Adaptation as a unifying framework for continuous black-box optimization and adaptive Monte Carlo sampling
Abstract— We present a unifying framework for continuous optimization and sampling. This framework is based on Gaussian Adaptation (GaA), a search heuristic developed in the late...
Christian L. Müller, Ivo F. Sbalzarini