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Differentially Private Model Selection with Penalized and Constrained Likelihood

https://doi.org/10.1111/rssa.12324
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/9781118348239openalex-snapshot
Statistical Disclosure Control
inferredcites →https://doi.org/10.1002/9781118445112.stat00072openalex-snapshot
Statistical Disclosure Limitation
inferredcites →https://doi.org/10.1007/11681878_14openalex-snapshot
Calibrating Noise to Sensitivity in Private Data Analysis
inferredcites →https://doi.org/10.1007/11787006_1openalex-snapshot
Differential Privacy
inferredcites →https://doi.org/10.1007/978-1-4612-4028-0openalex-snapshot
Statistical Disclosure Control in Practice
inferredcites →https://doi.org/10.1007/978-3-319-11257-2_12openalex-snapshot
Differentially Private Exponential Random Graphs
inferredcites →https://doi.org/10.1007/978-3-540-87471-3_20openalex-snapshot
How Protective Are Synthetic Data?
inferredcites →https://doi.org/10.1007/978-3-642-04898-2openalex-snapshot
International Encyclopedia of Statistical Science
inferredcites →https://doi.org/10.1007/978-3-642-11799-2_26openalex-snapshot
Bounds on the Sample Complexity for Private Learning and Private Data Release
inferredcites →https://doi.org/10.1007/978-3-642-15838-4_17openalex-snapshot
Differential Privacy and the Risk-Utility Tradeoff for Multi-dimensional Contingency Tables
inferredcites →https://doi.org/10.1007/978-3-642-33627-0_21openalex-snapshot
Differentially Private Graphical Degree Sequences and Synthetic Graphs
inferredcites →https://doi.org/10.1007/s10994-013-5404-1openalex-snapshot
Bounds on the sample complexity for private learning and private data release
inferredcites →https://doi.org/10.1016/j.jbi.2014.01.008openalex-snapshot
Scalable privacy-preserving data sharing methodology for genome-wide association studies
inferredcites →https://doi.org/10.1080/01621459.1984.10478083openalex-snapshot
Cross-Validation of Regression Models
inferredcites →https://doi.org/10.1080/01621459.1993.10476299openalex-snapshot
Linear Model Selection by Cross-Validation
inferredcites →https://doi.org/10.1109/focs.2007.66openalex-snapshot
Mechanism Design via Differential Privacy
inferredcites →https://doi.org/10.1109/focs.2014.56openalex-snapshot
Private Empirical Risk Minimization: Efficient Algorithms and Tight Error Bounds
inferredcites →https://doi.org/10.1109/focs.2015.45openalex-snapshot
Differentially Private Release and Learning of Threshold Functions
inferredcites →https://doi.org/10.1109/icdmw.2011.140openalex-snapshot
Privacy Preserving GWAS Data Sharing
inferredcites →https://doi.org/10.1109/tac.1974.1100705openalex-snapshot
A new look at the statistical model identification
inferredcites →https://doi.org/10.1111/j.2517-6161.1996.tb02080.xopenalex-snapshot
Regression Shrinkage and Selection Via the Lasso
inferredcites →https://doi.org/10.1137/090756090openalex-snapshot
What Can We Learn Privately?
inferredcites →https://doi.org/10.1145/1265530.1265569openalex-snapshot
Privacy, accuracy, and consistency too
inferredcites →https://doi.org/10.1145/1401890.1401926openalex-snapshot
Composition attacks and auxiliary information in data privacy
inferredcites →https://doi.org/10.1145/1536414.1536466openalex-snapshot
Differential privacy and robust statistics
inferredcites →https://doi.org/10.1145/1993636.1993743openalex-snapshot
Privacy-preserving statistical estimation with optimal convergence rates
inferredcites →https://doi.org/10.1145/2487575.2487687openalex-snapshot
Privacy-preserving data exploration in genome-wide association studies
inferredcites →https://doi.org/10.1198/016214501753382273openalex-snapshot
Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties
inferredcites →https://doi.org/10.1198/jasa.2009.tm08651openalex-snapshot
A Statistical Framework for Differential Privacy
inferredcites →https://doi.org/10.1214/009053607000000514openalex-snapshot
Consistency of cross validation for comparing regression procedures
inferredcites →https://doi.org/10.1214/15-aos1358openalex-snapshot
Inference using noisy degrees: Differentially private $\beta$-model and synthetic graphs
inferredcites →https://doi.org/10.1214/aos/1015957395openalex-snapshot
Adaptive estimation of a quadratic functional by model selection
inferredcites →https://doi.org/10.1214/aos/1176344136openalex-snapshot
Estimating the Dimension of a Model
inferredcites →https://doi.org/10.1214/aos/1176346522openalex-snapshot
Asymptotic Properties of Criteria for Selection of Variables in Multiple Regression
inferredcites →https://doi.org/10.29012/jpc.v6i1.634openalex-snapshot
On the 'Semantics' of Differential Privacy: A Bayesian Formulation
inferredcites →https://doi.org/10.48550/arxiv.0912.0071openalex-snapshot
Differentially Private Empirical Risk Minimization
inferredcites →https://doi.org/10.48550/arxiv.1205.0739openalex-snapshot
Privacy-Preserving Data Sharing for Genome-Wide Association Studies
inferredcites →https://doi.org/10.48550/arxiv.1511.03803openalex-snapshot
Private False Discovery Rate Control
inferredcites →https://doi.org/10.48550/arxiv.1511.07896openalex-snapshot
Private Posterior distributions from Variational approximations

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1007/978-3-030-75460-0_19openalex-snapshot
Perturbed M-Estimation: A Further Investigation of Robust Statistics for Differential Privacy
inferred← citeshttps://doi.org/10.1016/j.optlastec.2023.110541openalex-snapshot
DP-EPSO: Differential privacy protection algorithm based on differential evolution and particle swarm optimization
inferred← citeshttps://doi.org/10.1080/01621459.2020.1773831openalex-snapshot
Structure and Sensitivity in Differential Privacy: Comparing K -Norm Mechanisms
inferred← citeshttps://doi.org/10.1080/10618600.2018.1538881openalex-snapshot
Differentially Private Significance Tests for Regression Coefficients
inferred← citeshttps://doi.org/10.1111/sjos.70062openalex-snapshot
Online differentially private inference for linear regression model
inferred← citeshttps://doi.org/10.1145/3313276.3316377openalex-snapshot
Private selection from private candidates
inferred← citeshttps://doi.org/10.1145/3714393.3726507openalex-snapshot
Differentially Private Iterative Screening Rules for Linear Regression
inferred← citeshttps://doi.org/10.1214/19-sts742openalex-snapshot
Comparative Study of Differentially Private Data Synthesis Methods
inferred← citeshttps://doi.org/10.1214/23-aos2303openalex-snapshot
Post-selection inference via algorithmic stability
inferred← citeshttps://doi.org/10.1214/24-aos2411openalex-snapshot
Majority vote for distributed differentially private sign selection
inferred← citeshttps://doi.org/10.29012/jpc.657openalex-snapshot
A Privacy Preserving Algorithm to Release Sparse High-dimensional Histograms
inferred← citeshttps://doi.org/10.29012/jpc.685openalex-snapshot
Remembering Stephen Fienberg
inferred← citeshttps://doi.org/10.29012/jpc.748openalex-snapshot
Comparative Study of Differentially Private Synthetic Data Algorithms from the NIST PSCR Differential Privacy Synthetic Data Challenge
inferred← citeshttps://doi.org/10.29012/jpc.755openalex-snapshot
Differentially private false discovery rate control
inferred← citeshttps://doi.org/10.48550/arxiv.1705.09561openalex-snapshot
Differentially private significance tests for regression coefficients
inferred← citeshttps://doi.org/10.48550/arxiv.1711.06660openalex-snapshot
Formal Privacy for Functional Data with Gaussian Perturbations
inferred← citeshttps://doi.org/10.48550/arxiv.1801.09236openalex-snapshot
Structure and Sensitivity in Differential Privacy: Comparing K-Norm Mechanisms
inferred← citeshttps://doi.org/10.48550/arxiv.1802.02638openalex-snapshot
Tight Lower Bounds for Locally Differentially Private Selection
inferred← citeshttps://doi.org/10.48550/arxiv.1812.02890openalex-snapshot
Three Tools for Practical Differential Privacy
inferred← citeshttps://doi.org/10.48550/arxiv.2109.03949openalex-snapshot
Differentially private methods for managing model uncertainty in linear regression models
inferred← citeshttps://doi.org/10.5351/kjas.2025.38.3.309openalex-snapshot
A differentially private GLM model selection
inferred← citeshttps://doi.org/10.5705/ss.202022.0276openalex-snapshot
Unbiased Statistical Estimation and Valid Confidence Intervals Under Differential Privacy
inferred← citeshttps://doi.org/10.5705/ss.202022.0279openalex-snapshot
Differentially Private Hypothesis Testing With the Subsampled and Aggregated Randomized Response Mechanism
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