Research map / Learning theory and algorithms / Kernels and regression theory
Differentially Private Ordinary Least Squares
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Increase the number of observations | Algorithms 1 and 2 · Synthetic data and diabetes dataset | t-value approximation | Helped |
| Use Algorithm 1 instead of directly computing t-values from Analyze Gauss | Differentially private OLS · Synthetic data and diabetes dataset | false null-hypothesis rejections | Helped |
| Compute t-values directly from Analyze Gauss output without accounting for algorithmic randomness | Analyze Gauss · Synthetic data and diabetes dataset | false null-hypothesis rejections | Hurt |
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