ResearchTrend.AI
DPVIm: Differentially Private Variational Inference Improved

DPVIm: Differentially Private Variational Inference Improved

Joonas Jälkö
Lukas Prediger
Antti Honkela
Samuel Kaski
ArXivPDFHTML

Papers citing "DPVIm: Differentially Private Variational Inference Improved"

5 / 5 papers shown
Title
Noise-Aware Differentially Private Variational Inference
Noise-Aware Differentially Private Variational Inference
Talal Alrawajfeh
Joonas Jälkö
Antti Honkela
20
0
0
25 Oct 2024
Differentially Private Normalizing Flows for Density Estimation, Data Synthesis, and Variational Inference with Application to Electronic Health Records
Differentially Private Normalizing Flows for Density Estimation, Data Synthesis, and Variational Inference with Application to Electronic Health Records
Bingyue Su
Yu Wang
Daniele E. Schiavazzi
Fang Liu
8
2
0
11 Feb 2023
Private Stochastic Optimization With Large Worst-Case Lipschitz Parameter: Optimal Rates for (Non-Smooth) Convex Losses and Extension to Non-Convex Losses
Private Stochastic Optimization With Large Worst-Case Lipschitz Parameter: Optimal Rates for (Non-Smooth) Convex Losses and Extension to Non-Convex Losses
Andrew Lowy
Meisam Razaviyayn
25
13
0
15 Sep 2022
The Role of Adaptive Optimizers for Honest Private Hyperparameter Selection
The Role of Adaptive Optimizers for Honest Private Hyperparameter Selection
Shubhankar Mohapatra
Sajin Sasy
Xi He
Gautam Kamath
Om Thakkar
99
32
0
09 Nov 2021
Differentially Private Bayesian Inference for Exponential Families
Differentially Private Bayesian Inference for Exponential Families
G. Bernstein
Daniel Sheldon
26
48
0
06 Sep 2018