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20082012
most citedLearning Loosely Connected Markov Random Fields

10 citations · 14 across the 3 of their papers we have counts for

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math.PR2010★ 3 cited

Mixing Time of Glauber Dynamics With Parallel Updates and Heterogeneous Fugacities

Mathieu Leconte, Jian Ni, R. Srikant

Glauber dynamics is a powerful tool to generate randomized, approximate solutions to combinatorially difficult problems. Applications include Markov Chain Monte Carlo (MCMC) simula…