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Continuous Relaxations for Discrete Hamiltonian Monte Carlo
Published on Jan 14, 20132980 Views
Continuous relaxations play an important role in discrete optimization, but have not seen much use in approximate probabilistic inference. Here we show that a general form of the Gaussian Integral Tri
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Chapter list
Continuous Relaxations for Discrete Hamiltonian Monte Carlo00:00
The Gaussian Integral Trick00:46
The Convexity of Continuous Marginal02:17
Results on Node Marginal Estimation on Synthetic MRFs03:13