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Private estimation algorithms for stochastic block models and mixture models

Private estimation algorithms for stochastic block models and mixture models

Hongjie Chen
Vincent Cohen-Addad
Tommaso dÓrsi
Alessandro Epasto
Jacob Imola
David Steurer
Stefan Tiegel
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Papers citing "Private estimation algorithms for stochastic block models and mixture models"

5 / 5 papers shown
Title
On the Price of Differential Privacy for Spectral Clustering over Stochastic Block Models
On the Price of Differential Privacy for Spectral Clustering over Stochastic Block Models
Antti Koskela
Mohamed Seif
Andrea J. Goldsmith
13
0
0
09 May 2025
Differentially private exact recovery for stochastic block models
Differentially private exact recovery for stochastic block models
Dung Nguyen
Anil Vullikanti
28
2
0
04 Jun 2024
Private Distribution Learning with Public Data: The View from Sample Compression
Private Distribution Learning with Public Data: The View from Sample Compression
Shai Ben-David
Alex Bie
C. Canonne
Gautam Kamath
Vikrant Singhal
22
11
0
11 Aug 2023
Differentially-Private Hierarchical Clustering with Provable Approximation Guarantees
Differentially-Private Hierarchical Clustering with Provable Approximation Guarantees
Jacob Imola
Alessandro Epasto
Mohammad Mahdian
Vincent Cohen-Addad
Vahab Mirrokni
22
3
0
31 Jan 2023
SoS Degree Reduction with Applications to Clustering and Robust Moment Estimation
SoS Degree Reduction with Applications to Clustering and Robust Moment Estimation
David Steurer
Stefan Tiegel
19
10
0
05 Jan 2021