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Update draft-case-ppm-binomial-dp.md
error formula, formatting
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@@ -23,7 +23,7 @@ venue: | |
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author: | ||
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name: Ben Case | ||
name: Benjamin Case | ||
organization: Meta | ||
email: [email protected] | ||
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@@ -360,12 +360,12 @@ described in the following sections. | |
### Bounding `N` by `delta_constraint` | ||
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The `delta_constraint` is a function of delta, the dimension, `d`, the | ||
`sensitivity_infty`, the quantization scale, `s`, and `p` (which is fixed to 0.5 | ||
`sensitivity\_infty`, the quantization scale, `s`, and `p` (which is fixed to 0.5 | ||
in this document). This produces a simple formula for determining the minimum | ||
value of `N`: | ||
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~~~ pseudocode | ||
N >= 4\*max(23\*ln(10\*d/delta), 2\*sensitivity_infty/s) | ||
N >= 4\*max(23\*ln(10\*d/delta), 2\*sensitivity\_infty/s) | ||
~~~ | ||
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@@ -435,7 +435,7 @@ trade offs for the mechanism. An additional equation to note is the error of | |
the mechanism which we would like to minimize subject to the privacy constraints | ||
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~~~ pseudocode | ||
error = d\*s^2\*N\*p\*(1-p) = 4\*d\*s^2\*N | ||
error = d\*s^2\*N\*p\*(1-p) = 0.25\*d\*s^2\*N | ||
~~~ | ||
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{{CPSGD}} discusses more about why 0.5 is the optimal choice for `p`. When it | ||
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