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ICML
2005
IEEE
16 years 7 months ago
Tempering for Bayesian C&RT
This paper concerns the experimental assessment of tempering as a technique for improving Bayesian inference for C&RT models. Full Bayesian inference requires the computation ...
Nicos Angelopoulos, James Cussens
FOCS
2007
IEEE
16 years 1 months ago
Mixing Time Power Laws at Criticality
We study the mixing time of some Markov Chains converging to critical physical models. These models are indexed by a parameter β and there exists some critical value βc where th...
Yun Long, Asaf Nachmias, Yuval Peres
SAINT
2005
IEEE
16 years 10 days ago
A Matrix Pattern Compliant Strong Stochastic Bound
Stochastic bounds are a promising method to analyze QoS requirements. Indeed it is sufficient to prove that a bound of the real performance satisfies the guarantee. However, the...
Ana Busic, Jean-Michel Fourneau
PE
2000
Springer
101views Optimization» more  PE 2000»
15 years 6 months ago
On the convergence of the power series algorithm
In this paper we study the convergence properties of the power series algorithm, which is a general method to determine (functions of) stationary distributions of Markov chains. W...
Gerard Hooghiemstra, Ger Koole
NIPS
2008
15 years 8 months ago
The Infinite Factorial Hidden Markov Model
We introduce a new probability distribution over a potentially infinite number of binary Markov chains which we call the Markov Indian buffet process. This process extends the IBP...
Jurgen Van Gael, Yee Whye Teh, Zoubin Ghahramani