scientific article; zbMATH DE number 6253902
From MaRDI portal
Publication:5396633
zbMath1280.62073MaRDI QIDQ5396633
Anand Dilip Sarwate, Claire Monteleoni, Kamalika Chaudhuri
Publication date: 3 February 2014
Full work available at URL: http://www.jmlr.org/papers/v12/chaudhuri11a.html
Title: zbMATH Open Web Interface contents unavailable due to conflicting licenses.
classificationoptimizationlogistic regressionprivacysupport vector machinesempirical risk minimization
Nonparametric regression and quantile regression (62G08) Ridge regression; shrinkage estimators (Lasso) (62J07) Classification and discrimination; cluster analysis (statistical aspects) (62H30) Learning and adaptive systems in artificial intelligence (68T05)
Related Items (46)
Differentially private distributed logistic regression with the objective function perturbation ⋮ Perturbed robust linear estimating equations for confidentiality protection in remote analysis ⋮ Scalable methods for Bayesian selective inference ⋮ Comment ⋮ Unnamed Item ⋮ Differentially Private Accelerated Optimization Algorithms ⋮ Model averaging with privacy-preserving ⋮ Statistical Query Algorithms for Mean Vector Estimation and Stochastic Convex Optimization ⋮ Differentially private precision matrix estimation ⋮ Differentially private SGD with non-smooth losses ⋮ Authentication in Constrained Settings ⋮ Differential privacy based on importance weighting ⋮ A Survey of Differentially Private Regression for Clinical and Epidemiological Research ⋮ Reconciling privacy and utility: an unscented Kalman filter-based framework for differentially private machine learning ⋮ Distribution-invariant differential privacy ⋮ Optimal algorithms for differentially private stochastic monotone variational inequalities and saddle-point problems ⋮ Mitigating disparate impact on model accuracy in differentially private learning ⋮ PAC privacy: automatic privacy measurement and control of data processing ⋮ Canonical noise distributions and private hypothesis tests ⋮ Differentially private inference via noisy optimization ⋮ Gradient complexity and non-stationary views of differentially private empirical risk minimization ⋮ A differentially private nonnegative matrix factorization for recommender system ⋮ Comparative study of differentially private data synthesis methods ⋮ Learning privately with labeled and unlabeled examples ⋮ Large Margin Multiclass Gaussian Classification with Differential Privacy ⋮ Differentially private distance learning in categorical data ⋮ Perturbation of convex risk minimization and its application in differential private learning algorithms ⋮ Unnamed Item ⋮ Unnamed Item ⋮ New collaborative filtering algorithms based on SVD++ and differential privacy ⋮ Stochastic gradient method with Barzilai-Borwein step for unconstrained nonlinear optimization ⋮ Bounds on the sample complexity for private learning and private data release ⋮ Processing text for privacy: an information flow perspective ⋮ Minimax Optimal Procedures for Locally Private Estimation ⋮ Differentially-private learning of low dimensional manifolds ⋮ Protect privacy of deep classification networks by exploiting their generative power ⋮ On the power of multiple anonymous messages: frequency estimation and selection in the shuffle model of differential privacy ⋮ Bounded privacy-utility monotonicity indicating bounded tradeoff of differential privacy mechanisms ⋮ Differentially Private Significance Tests for Regression Coefficients ⋮ Semi-supervised learning with summary statistics ⋮ Structure and Sensitivity in Differential Privacy: Comparing K-Norm Mechanisms ⋮ Privacy-Preserving Parametric Inference: A Case for Robust Statistics ⋮ Unnamed Item ⋮ Privacy Aware Learning ⋮ A Novel Adaptive Differential Privacy Algorithm for Empirical Risk Minimization ⋮ On reconstructability of quadratic utility functions from the iterations in gradient methods
This page was built for publication:
