ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2205.14485
  4. Cited By
Noise-Aware Statistical Inference with Differentially Private Synthetic
  Data
v1v2v3 (latest)

Noise-Aware Statistical Inference with Differentially Private Synthetic Data

International Conference on Artificial Intelligence and Statistics (AISTATS), 2022
28 May 2022
Ossi Raisa
Hibiki Ito
Samuel Kaski
Antti Honkela
    SyDa
ArXiv (abs)PDFHTML

Papers citing "Noise-Aware Statistical Inference with Differentially Private Synthetic Data"

9 / 9 papers shown
Title
Debiasing Synthetic Data Generated by Deep Generative Models
Debiasing Synthetic Data Generated by Deep Generative ModelsNeural Information Processing Systems (NeurIPS), 2024
A. Decruyenaere
Heidelinde Dehaene
Paloma Rabaey
Christiaan Polet
Johan Decruyenaere
Thomas Demeester
S. Vansteelandt
AI4CE
221
2
0
06 Nov 2024
Noise-Aware Differentially Private Variational Inference
Noise-Aware Differentially Private Variational InferenceInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2024
Talal Alrawajfeh
Hibiki Ito
Antti Honkela
327
0
0
25 Oct 2024
Inference With Combining Rules From Multiple Differentially Private
  Synthetic Datasets
Inference With Combining Rules From Multiple Differentially Private Synthetic Datasets
Leila Nombo
Anne-Sophie Charest
159
0
0
08 May 2024
Does Differentially Private Synthetic Data Lead to Synthetic
  Discoveries?
Does Differentially Private Synthetic Data Lead to Synthetic Discoveries?
Ileana Montoya Perez
P. Movahedi
Valtteri Nieminen
A. Airola
T. Pahikkala
246
5
0
20 Mar 2024
A Bias-Variance Decomposition for Ensembles over Multiple Synthetic Datasets
A Bias-Variance Decomposition for Ensembles over Multiple Synthetic DatasetsInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2024
Ossi Raisa
Antti Honkela
313
1
0
06 Feb 2024
The Real Deal Behind the Artificial Appeal: Inferential Utility of
  Tabular Synthetic Data
The Real Deal Behind the Artificial Appeal: Inferential Utility of Tabular Synthetic DataConference on Uncertainty in Artificial Intelligence (UAI), 2023
A. Decruyenaere
Heidelinde Dehaene
Paloma Rabaey
Christiaan Polet
Johan Decruyenaere
S. Vansteelandt
Thomas Demeester
223
5
0
13 Dec 2023
Collaborative Learning From Distributed Data With Differentially Private
  Synthetic Twin Data
Collaborative Learning From Distributed Data With Differentially Private Synthetic Twin Data
Lukas Prediger
Hibiki Ito
Antti Honkela
Samuel Kaski
FedML
131
1
0
09 Aug 2023
On Consistent Bayesian Inference from Synthetic Data
On Consistent Bayesian Inference from Synthetic Data
Ossi Raisa
Hibiki Ito
Antti Honkela
SyDa
274
3
0
26 May 2023
Epistemic Parity: Reproducibility as an Evaluation Metric for
  Differential Privacy
Epistemic Parity: Reproducibility as an Evaluation Metric for Differential PrivacyProceedings of the VLDB Endowment (PVLDB), 2022
Lucas Rosenblatt
Bernease Herman
Anastasia Holovenko
Wonkwon Lee
Joshua R. Loftus
Elizabeth McKinnie
Taras Rumezhak
Andrii Stadnik
Bill Howe
Julia Stoyanovich
146
8
0
26 Aug 2022
1