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ICML
2005
IEEE
16 years 19 days 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
15 years 6 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
15 years 5 months 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»
14 years 11 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 1 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