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Differentially Private Sliced Inverse Regression: Minimax Optimality and Algorithm
Privacy preservation has become a critical concern in high-dimensional data analysis due to the growing prevalence of data-driven applications.
Adaptive False Discovery Rate Control with Privacy Guarantee
Differentially private multiple testing procedures can protect the information of individuals used in hypothesis tests while guaranteeing a small fraction of false discoveries.
One Step to Efficient Synthetic Data
We show that under general assumptions, this approach results in a sample with inefficient estimators and whose joint distribution is inconsistent with the true distribution.
Model Selection
Statistics Theory
Cryptography and Security
Computation
Statistics Theory
