Perturb-and-max-product: Sampling and learning in discrete energy-based models

Miguel Lázaro-Gredilla, Antoine Dedieu, Dileep George. Perturb-and-max-product: Sampling and learning in discrete energy-based models. In Marc'Aurelio Ranzato, Alina Beygelzimer, Yann N. Dauphin, Percy Liang, Jennifer Wortman Vaughan, editors, Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, NeurIPS 2021, December 6-14, 2021, virtual. pages 928-940, 2021. [doi]

Authors

Miguel Lázaro-Gredilla

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Antoine Dedieu

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Dileep George

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