A-NICE-MC: Adversarial Training for MCMC

NeurIPS 2017 Jiaming SongShengjia ZhaoStefano Ermon

Existing Markov Chain Monte Carlo (MCMC) methods are either based on general-purpose and domain-agnostic schemes which can lead to slow convergence, or hand-crafting of problem-specific proposals by an expert. We propose A-NICE-MC, a novel method to train flexible parametric Markov chain kernels to produce samples with desired properties... (read more)

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