How Well Can Generative Adversarial Networks Learn Densities: A Nonparametric View

21 December 2017

Papers citing "How Well Can Generative Adversarial Networks Learn Densities: A Nonparametric View"

4 / 4 papers shown

Title
Bounds on Lp errors in density ratio estimation via f-divergence loss functions Yoshiaki Kitazawa 16 0 0 02 Oct 2024
A Selective Overview of Deep Learning Jianqing Fan Cong Ma Yiqiao Zhong BDL VLM 25 136 0 10 Apr 2019
Nonparametric Density Estimation & Convergence Rates for GANs under Besov IPM Losses Ananya Uppal Shashank Singh Barnabás Póczós 27 52 0 09 Feb 2019
Interaction Matters: A Note on Non-asymptotic Local Convergence of Generative Adversarial Networks Tengyuan Liang J. Stokes 27 211 0 16 Feb 2018