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Utility Theory of Synthetic Data Generation

17 May 2023

Papers citing "Utility Theory of Synthetic Data Generation"

41 / 41 papers shown

Title
Enhancing Obsolescence Forecasting with Deep Generative Data Augmentation: A Semi-Supervised Framework for Low-Data Industrial Applications Elie Saad Mariem Besbes Marc Zolghadri Victor Czmil Claude Baron Vincent Bourgeois 57 0 0 02 May 2025
GReaTER: Generate Realistic Tabular data after data Enhancement and Reduction Tung Sum Thomas Kwok Chi-Hua Wang Guang Cheng LMTD 107 2 0 19 Mar 2025
A Theoretical Perspective: How to Prevent Model Collapse in Self-consuming Training Loops Shi Fu Yingjie Wang Yuzhu Chen Xinmei Tian Dacheng Tao 82 3 0 26 Feb 2025
On the optimal approximation of Sobolev and Besov functions using deep ReLU neural networks Yunfei Yang 87 2 0 02 Sep 2024
A Survey on Statistical Theory of Deep Learning: Approximation, Training Dynamics, and Generative Models Namjoon Suh Guang Cheng MedIm 81 13 0 14 Jan 2024
Downstream Task-Oriented Generative Model Selections on Synthetic Data Training for Fraud Detection Models Yinan Cheng ChiHua Wang Vamsi K. Potluru T. Balch Guang Cheng 68 8 0 01 Jan 2024
Dataset Diffusion: Diffusion-based Synthetic Dataset Generation for Pixel-Level Semantic Segmentation Quang H. Nguyen T. Vu Anh Tran Kim Dan Nguyen DiffM 79 86 0 25 Sep 2023
Realistic Synthetic Financial Transactions for Anti-Money Laundering Models Erik Altman Jovan Blanuvsa Luc von Niederhäusern Béni Egressy Andreea Anghel Kubilay Atasu 123 42 0 22 Jun 2023
Synthetic data, real errors: how (not) to publish and use synthetic data B. V. Breugel Zhaozhi Qian M. Schaar SyDa 108 30 0 16 May 2023
Synthetic Data from Diffusion Models Improves ImageNet Classification Shekoofeh Azizi Simon Kornblith Chitwan Saharia Mohammad Norouzi David J. Fleet VLM DiffM 103 315 0 17 Apr 2023
Statistical Theory of Differentially Private Marginal-based Data Synthesis Algorithms Ximing Li Chendi Wang Guang Cheng SyDa 150 8 0 21 Jan 2023
Optimal Approximation Rates for Deep ReLU Neural Networks on Sobolev and Besov Spaces Jonathan W. Siegel 119 30 0 25 Nov 2022
Improving Adversarial Robustness by Contrastive Guided Diffusion Process Yidong Ouyang Liyan Xie Guang Cheng 52 8 0 18 Oct 2022
Downstream Datasets Make Surprisingly Good Pretraining Corpora Kundan Krishna Saurabh Garg Jeffrey P. Bigham Zachary Chase Lipton 92 33 0 28 Sep 2022
Synthetic Data -- what, why and how? James Jordon Lukasz Szpruch F. Houssiau M. Bottarelli Giovanni Cherubin Carsten Maple Samuel N. Cohen Adrian Weller 82 118 0 06 May 2022
Optimally tackling covariate shift in RKHS-based nonparametric regression Cong Ma Reese Pathak Martin J. Wainwright 39 44 0 06 May 2022
Generative Adversarial Networks Gilad Cohen Raja Giryes GAN 298 30,152 0 01 Mar 2022
Distribution-Invariant Differential Privacy Xuan Bi Xiaotong Shen 44 14 0 08 Nov 2021
A Deep Generative Approach to Conditional Sampling Xingyu Zhou Yuling Jiao Jin Liu Jian Huang 58 43 0 19 Oct 2021
Improving Robustness using Generated Data Sven Gowal Sylvestre-Alvise Rebuffi Olivia Wiles Florian Stimberg D. A. Calian Timothy A. Mann 91 302 0 18 Oct 2021
Synthetic Data Generation for Fraud Detection using GANs C. Charitou S. Dragicevic Artur Garcez 47 20 0 26 Sep 2021
Relaxed Marginal Consistency for Differentially Private Query Answering Ryan McKenna Siddhant Pradhan Daniel Sheldon G. Miklau 73 11 0 13 Sep 2021
Synthetic Data for Model Selection Alon Shoshan Nadav Bhonker Igor Kviatkovsky Matan Fintz Gérard Medioni 42 5 0 03 May 2021
Maximum Likelihood Training of Score-Based Diffusion Models Yang Song Conor Durkan Iain Murray Stefano Ermon DiffM 171 673 0 22 Jan 2021
Non-Negative Bregman Divergence Minimization for Deep Direct Density Ratio Estimation Masahiro Kato Takeshi Teshima 45 36 0 12 Jun 2020
Decision-Making with Auto-Encoding Variational Bayes Romain Lopez Pierre Boyeau Nir Yosef Michael I. Jordan Jeffrey Regier BDL 524 10,591 0 17 Feb 2020
Modeling Tabular data using Conditional GAN Lei Xu Maria Skoularidou Alfredo Cuesta-Infante K. Veeramachaneni CML MU SyDa GAN 121 1,262 0 01 Jul 2019
Unlabeled Data Improves Adversarial Robustness Y. Carmon Aditi Raghunathan Ludwig Schmidt Percy Liang John C. Duchi 130 754 0 31 May 2019
SynC: A Unified Framework for Generating Synthetic Population with Gaussian Copula Colin Wan Zheng Li Alicia Guo Yue Zhao SyDa 22 7 0 16 Apr 2019
How Well Generative Adversarial Networks Learn Distributions Tengyuan Liang GAN 71 96 0 07 Nov 2018
Measuring the quality of Synthetic data for use in competitions James Jordon Jinsung Yoon M. Schaar 46 32 0 29 Jun 2018
Training Deep Networks with Synthetic Data: Bridging the Reality Gap by Domain Randomization Jonathan Tremblay Aayush Prakash David Acuna M. Brophy Varun Jampani Cem Anil Thang To Eric Cameracci Shaad Boochoon Stan Birchfield OOD 84 820 0 18 Apr 2018
Differentially Private Generative Adversarial Network Liyang Xie Kaixiang Lin Shu Wang Fei Wang Jiayu Zhou SyDa 95 502 0 19 Feb 2018
Synthetic Data Augmentation using GAN for Improved Liver Lesion Classification Maayan Frid-Adar Eyal Klang Michal Amitai Jacob Goldberger H. Greenspan MedIm GAN 67 704 0 08 Jan 2018
Nonparametric regression using deep neural networks with ReLU activation function Johannes Schmidt-Hieber 238 816 0 22 Aug 2017
Least Squares Generative Adversarial Networks Xudong Mao Qing Li Haoran Xie Raymond Y. K. Lau Zhen Wang Stephen Paul Smolley GAN 340 4,579 0 13 Nov 2016
The Normal Law Under Linear Restrictions: Simulation and Estimation via Minimax Tilting Z. Botev 39 241 0 14 Mar 2016
Conditional Generative Adversarial Nets M. Berk Mirza Simon Osindero GAN SyDa AI4CE 264 10,429 0 06 Nov 2014
What Regularized Auto-Encoders Learn from the Data Generating Distribution Guillaume Alain Yoshua Bengio OOD DRL 74 505 0 18 Nov 2012
Choice of neighbor order in nearest-neighbor classification P. Hall B. Park R. Samworth 217 320 0 29 Oct 2008
Fast learning rates for plug-in classifiers Jean-Yves Audibert Alexandre B. Tsybakov 584 469 0 17 Aug 2007