Initiates finite-sample theory for differentially private hypothesis testing in survival analysis, with private tests for Cox models and cumulative hazards plus minimax bounds.
F -Divergence Estimation and Two- Sample Homogeneity Test Under Semiparametric Density-Ratio Models
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Nyström approximation of MMD enables scalable two-sample testing with permutation p-values and a finite-sample power bound matching the minimax optimal separation rate.
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Differentially private hypothesis testing in survival analysis
Initiates finite-sample theory for differentially private hypothesis testing in survival analysis, with private tests for Cox models and cumulative hazards plus minimax bounds.
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A Scalable Nystrom-Based Kernel Two-Sample Test with Permutations
Nyström approximation of MMD enables scalable two-sample testing with permutation p-values and a finite-sample power bound matching the minimax optimal separation rate.