differential privacy

A Bandit Framework for Strategic Regression NeurIPS 2016 Adaptive Learning with Robust Generalization Guarantees COLT 2016 Controlling Bias in Adaptive Data Analysis Using Information Theory AISTATS 2016 Differentially Private Chi-Squared Hypothesis Testing: Goodness of Fit and Independence Testing ICML 2016 Differentially Private Data Releasing for Smooth Queries JMLR 2016 Differentially Private Policy Evaluation ICML 2016 Differential Privacy without Sensitivity NeurIPS 2016 Discrete Distribution Estimation under Local Privacy ICML 2016 Efficient Private Empirical Risk Minimization for High-dimensional Learning ICML 2016 Extremal Mechanisms for Local Differential Privacy JMLR 2016 k-variates++: more pluses in the k-means++ ICML 2016 Learning privately from multiparty data ICML 2016 Learning with Differential Privacy: Stability, Learnability and the Sufficiency and Necessity of ERM Principle JMLR 2016 Online and Differentially-Private Tensor Decomposition NeurIPS 2016 Privacy Odometers and Filters: Pay-as-you-Go Composition NeurIPS 2016 Private Causal Inference AISTATS 2016 Differentially Private Bayesian Optimization ICML 2015 Differentially Private Learning of Structured Discrete Distributions NeurIPS 2015 Differentially private subspace clustering NeurIPS 2015 Generalization in Adaptive Data Analysis and Holdout Reuse NeurIPS 2015 Interactive Fingerprinting Codes and the Hardness of Preventing False Discovery COLT 2015 Learning from Data with Heterogeneous Noise using SGD AISTATS 2015 Nearly Optimal Private LASSO NeurIPS 2015 Privacy for Free: Posterior Sampling and Stochastic Gradient Monte Carlo ICML 2015 Private Graphon Estimation for Sparse Graphs NeurIPS 2015