A likelihood approach to nonparametric estimation of a singular distribution using deep generative models

9 May 2021

Papers citing "A likelihood approach to nonparametric estimation of a singular distribution using deep generative models"

6 / 6 papers shown

Title
Statistically Optimal Generative Modeling with Maximum Deviation from the Empirical Distribution Elen Vardanyan Sona Hunanyan T. Galstyan A. Minasyan A. Dalalyan 37 2 0 31 Jul 2023
Distribution estimation and change-point estimation for time series via DNN-based GANs Jianya Lu Ying Mo Zhijie Xiao Lihu Xu Qiuran Yao AI4TS 36 0 0 26 Nov 2022
Estimating a density near an unknown manifold: a Bayesian nonparametric approach Clément Berenfeld Paul Rosa Judith Rousseau 50 10 0 31 May 2022
Rates of convergence for nonparametric estimation of singular distributions using generative adversarial networks Minwoo Chae GAN 32 4 0 07 Feb 2022
Statistical guarantees for generative models without domination Nicolas Schreuder Victor-Emmanuel Brunel A. Dalalyan GAN 65 34 0 19 Oct 2020
Benefits of depth in neural networks Matus Telgarsky 148 602 0 14 Feb 2016