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We present a general-purpose method to train Markov chain Monte Carlo kernels, parameterized by deep neural networks, that converge and mix quickly to their target distribution.
Monte Carlo sampling methods using Markov chains and their applications
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Christophe Andrieu and Johannes Thoms · 2008
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Jascha Sohl-Dickstein, Mayur Mudigonda, and Michael R DeWeese · 2014
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Andrew B Berger, Mayur Mudigonda, Michael R DeWeese, and Jascha Sohl-Dickstein · 2015
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Yuri Burda, Roger Grosse, and Ruslan Salakhutdinov · 2015
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Wei-Lun Chao, Justin Solomon, Dominik Michels, and Fei Sha · 2015
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Tim Salimans, Diederik Kingma, and Max Welling · 2015
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