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Gradient-based approximate inference methods, such as Stein variational gradient descent (SVGD), provide simple and general-purpose inference engines for differentiable continuous distributions.
Beitrag zur theorie des ferro-und paramagnetismus
E. Ising · 1924
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R. Dechter · 1998
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Auxiliary-variable exact hamiltonian monte carlo samplers for binary distributions
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