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cs.LG2012
A New Class of Upper Bounds on the Log Partition Function
Martin Wainwright, Tommi S. Jaakkola, Alan Willsky
Bounds on the log partition function are important in a variety of contexts, including approximate inference, model fitting, decision theory, and large deviations analysis. We intr…
cs.LG2006
Inconsistent parameter estimation in Markov random fields: Benefits in the computation-limited setting
Martin J. Wainwright
Consider the problem of joint parameter estimation and prediction in a Markov random field: i.e., the model parameters are estimated on the basis of an initial set of data, and the…