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…