Discovering Order in Unordered Datasets: Generative Markov Networks

ICLR 2018 Yao-Hung Hubert TsaiHan ZhaoNebojsa JojicRuslan Salakhutdinov

The assumption that data samples are independently identically distributed is the backbone of many learning algorithms. Nevertheless, datasets often exhibit rich structures in practice, and we argue that there exist some unknown orders within the data instances... (read more)

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