11 citations · 25 across the 15 of their papers we have counts for
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stat.ML2021
Convergence of GANs Training: A Game and Stochastic Control Methodology
Othmane Mounjid, Xin Guo
Training generative adversarial networks (GANs) is known to be difficult, especially for financial time series. This paper first analyzes the well-posedness problem in GANs minimax…
cs.LG2021
Adversarial Training for Gradient Descent: Analysis Through its Continuous-time Approximation
Haotian Gu, Xin Guo, Xinyu Li
Adversarial training has gained great popularity as one of the most effective defenses for deep neural network and more generally for gradient-based machine learning models against…
q-fin.MF2021
Generative Adversarial Network: Some Analytical Perspectives
Haoyang Cao, Xin Guo
Ever since its debut, generative adversarial networks (GANs) have attracted tremendous amount of attention. Over the past years, different variations of GANs models have been devel…