Adaptive Power Iteration Method for Differentially Private PCA
Fuente:
arXiv
Saved in:
| Main Authors: | Nguyen, Ta Duy, Ene, Alina, Nguyen, Huy Le |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Solving Linear Programs with Differential Privacy
by: Ene, Alina, et al.
Published: (2025)
by: Ene, Alina, et al.
Published: (2025)
Solving Positive Linear Programs with Differential Privacy
by: Ene, Alina, et al.
Published: (2026)
by: Ene, Alina, et al.
Published: (2026)
Multiplicative Weights Update, Area Convexity and Random Coordinate Descent for Densest Subgraph Problems
by: Nguyen, Ta Duy, et al.
Published: (2024)
by: Nguyen, Ta Duy, et al.
Published: (2024)
Improved $\ell_{p}$ Regression via Iteratively Reweighted Least Squares
by: Ene, Alina, et al.
Published: (2025)
by: Ene, Alina, et al.
Published: (2025)
Quasi-Self-Concordant Optimization with Lewis Weights
by: Ene, Alina, et al.
Published: (2025)
by: Ene, Alina, et al.
Published: (2025)
Tight Differentially Private PCA via Matrix Coherence
by: d'Orsi, Tommaso, et al.
Published: (2025)
by: d'Orsi, Tommaso, et al.
Published: (2025)
Sample-efficient Multiclass Calibration under $\ell_{p}$ Error
by: Bairaktari, Konstantina, et al.
Published: (2025)
by: Bairaktari, Konstantina, et al.
Published: (2025)
Differentially Private Densest Subgraph Detection
by: Nguyen, Dung, et al.
Published: (2021)
by: Nguyen, Dung, et al.
Published: (2021)
Thompson Sampling Itself is Differentially Private
by: Ou, Tingting, et al.
Published: (2024)
by: Ou, Tingting, et al.
Published: (2024)
Maximum Coverage in Turnstile Streams with Applications to Fingerprinting Measures
by: Ene, Alina, et al.
Published: (2025)
by: Ene, Alina, et al.
Published: (2025)
Differentially Private and Scalable Estimation of the Network Principal Component
by: Khayatian, Alireza, et al.
Published: (2025)
by: Khayatian, Alireza, et al.
Published: (2025)
Constructing Decision Trees from Data Streams
by: Pham, Huy, et al.
Published: (2024)
by: Pham, Huy, et al.
Published: (2024)
Binned Group Algebra Factorization for Differentially Private Continual Counting
by: Henzinger, Monika, et al.
Published: (2025)
by: Henzinger, Monika, et al.
Published: (2025)
Towards Optimal Differentially Private Regret Bounds in Linear MDPs
by: Sahu, Sharan
Published: (2025)
by: Sahu, Sharan
Published: (2025)
Differentially Private Synthetic Graphs Preserving Triangle-Motif Cuts
by: Peng, Pan, et al.
Published: (2025)
by: Peng, Pan, et al.
Published: (2025)
Spectral Guarantees for Adversarial Streaming PCA
by: Price, Eric, et al.
Published: (2024)
by: Price, Eric, et al.
Published: (2024)
The Power of Iterative Filtering for Supervised Learning with (Heavy) Contamination
by: Klivans, Adam R., et al.
Published: (2025)
by: Klivans, Adam R., et al.
Published: (2025)
Constant matters: Fine-grained Complexity of Differentially Private Continual Observation
by: Fichtenberger, Hendrik, et al.
Published: (2022)
by: Fichtenberger, Hendrik, et al.
Published: (2022)
Lumberjack: Better Differentially Private Random Forests through Heavy Hitter Detection in Trees
by: Lebeda, Christian Janos, et al.
Published: (2026)
by: Lebeda, Christian Janos, et al.
Published: (2026)
Handling Delayed Feedback in Distributed Online Optimization : A Projection-Free Approach
by: Nguyen, Tuan-Anh, et al.
Published: (2024)
by: Nguyen, Tuan-Anh, et al.
Published: (2024)
TimeCluster with PCA is Equivalent to Subspace Identification of Linear Dynamical Systems
by: Hines, Christian L., et al.
Published: (2025)
by: Hines, Christian L., et al.
Published: (2025)
Almost-Optimal Local-Search Methods for Sparse Tensor PCA
by: Lovig, Max, et al.
Published: (2025)
by: Lovig, Max, et al.
Published: (2025)
Private Vector Mean Estimation in the Shuffle Model: Optimal Rates Require Many Messages
by: Asi, Hilal, et al.
Published: (2024)
by: Asi, Hilal, et al.
Published: (2024)
Differentially Private Verification of Distribution Properties
by: Du, Elbert, et al.
Published: (2026)
by: Du, Elbert, et al.
Published: (2026)
Differentially Private Clustering in Data Streams
by: Epasto, Alessandro, et al.
Published: (2023)
by: Epasto, Alessandro, et al.
Published: (2023)
Differentially Private Kernel Density Estimation
by: Liu, Erzhi, et al.
Published: (2024)
by: Liu, Erzhi, et al.
Published: (2024)
Locally Differentially Private Graph Clustering via the Power Iteration Method
by: Suppakitpaisarn, Vorapong, et al.
Published: (2025)
by: Suppakitpaisarn, Vorapong, et al.
Published: (2025)
Differentially Private Multi-Sampling from Distributions
by: Cheu, Albert, et al.
Published: (2024)
by: Cheu, Albert, et al.
Published: (2024)
Fast and Simple Densest Subgraph with Predictions
by: Bui, Thai, et al.
Published: (2025)
by: Bui, Thai, et al.
Published: (2025)
On Purely Private Covariance Estimation
by: d'Orsi, Tommaso, et al.
Published: (2025)
by: d'Orsi, Tommaso, et al.
Published: (2025)
Differentially Private Learning Beyond the Classical Dimensionality Regime
by: Dwork, Cynthia, et al.
Published: (2024)
by: Dwork, Cynthia, et al.
Published: (2024)
A Differentially Private Clustering Algorithm for Well-Clustered Graphs
by: He, Weiqiang, et al.
Published: (2024)
by: He, Weiqiang, et al.
Published: (2024)
Almost Tight Error Bounds on Differentially Private Continual Counting
by: Henzinger, Monika, et al.
Published: (2022)
by: Henzinger, Monika, et al.
Published: (2022)
Individual Privacy Accounting for Differentially Private Stochastic Gradient Descent
by: Yu, Da, et al.
Published: (2022)
by: Yu, Da, et al.
Published: (2022)
On Differentially Private Subspace Estimation in a Distribution-Free Setting
by: Tsfadia, Eliad
Published: (2024)
by: Tsfadia, Eliad
Published: (2024)
Differentially Private Bootstrap: New Privacy Analysis and Inference Strategies
by: Wang, Zhanyu, et al.
Published: (2022)
by: Wang, Zhanyu, et al.
Published: (2022)
Iterative Chow Filtering for Learning with Distribution Shift
by: Chandrasekaran, Gautam, et al.
Published: (2026)
by: Chandrasekaran, Gautam, et al.
Published: (2026)
Fast-MWEM: Private Data Release in Sublinear Time
by: Haris, Themistoklis, et al.
Published: (2026)
by: Haris, Themistoklis, et al.
Published: (2026)
Private List Learnability vs. Online List Learnability
by: Hanneke, Steve, et al.
Published: (2025)
by: Hanneke, Steve, et al.
Published: (2025)
Scaling up the Banded Matrix Factorization Mechanism for Differentially Private ML
by: McKenna, Ryan
Published: (2024)
by: McKenna, Ryan
Published: (2024)
Similar Items
-
Solving Linear Programs with Differential Privacy
by: Ene, Alina, et al.
Published: (2025) -
Solving Positive Linear Programs with Differential Privacy
by: Ene, Alina, et al.
Published: (2026) -
Multiplicative Weights Update, Area Convexity and Random Coordinate Descent for Densest Subgraph Problems
by: Nguyen, Ta Duy, et al.
Published: (2024) -
Improved $\ell_{p}$ Regression via Iteratively Reweighted Least Squares
by: Ene, Alina, et al.
Published: (2025) -
Quasi-Self-Concordant Optimization with Lewis Weights
by: Ene, Alina, et al.
Published: (2025)