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• W225641137 abstract "We present SampleRank, an alternative to contrastive divergence (CD) for estimating parameters in complex graphical models. SampleRank harnesses a user-provided loss function to distribute stochastic gradients across an MCMC chain. As a result, parameter updates can be computed between arbitrary MCMC states. SampleRank is not only faster than CD, but also achieves better accuracy in practice (up to 23% error reduction on noun-phrase coreference)." @default.
• W225641137 created "2016-06-24" @default.
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• W225641137 date "2011-06-28" @default.
• W225641137 modified "2023-09-23" @default.
• W225641137 title "SampleRank: Training Factor Graphs with Atomic Gradients" @default.
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