Query: title:(Bounds all around\: training energy-based models with bidirectional bounds), Author: Geng

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title:(Bounds all around\: training energy-based models with bidirectional bounds) Author: Geng

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title:(Bounds AND all AND around\: AND training AND energy-based AND models AND with AND bidirectional AND bounds)

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1 Conference paper

Bounds all around: training energy-based models with bidirectional bounds

Geng, Cong; Wang, Jia; Gao, Zhiyong; Frellsen, Jes; Hauberg, Søren

Proceedings of 35<sup>th</sup> Conference on Neural Information Processing Systems — 2021

Energy-based models (EBMs) provide an elegant framework for density estimation, but they are notoriously difficult to train. Recent work has established links to generative adversarial networks, where the EBM is trained through a minimax game with a variational value function. We propose

Year: 2021

Language: English

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2 Preprint article

Bounds all around: training energy-based models with bidirectional bounds