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Ai-Sampler: Adversarial Learning of Markov Kernels with Involjtive Maps
Markov chain Monte Carlo methods have become popular in statistics as versatile techniques to sample from complicated probability distributions. In this work, we propose a method to parameterize and train transition kernels of Markov chains to …
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