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Zhongliang Li

1 accepted papers

2019

Adversarial Discrete Sequence Generation without Explicit NeuralNetworks as Discriminators

AISTATS 2019poster

This paper presents a novel approach to train GANs for discrete sequence generation without resorting to an explicit neural network as the discriminator. We show that when an alternative mini-max optimization procedure is performed for the value function where a closed form solution for the discrimi…