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Home/Authors/Thomas Humphries

Thomas Humphries

2 indexed papers

Recent (6 mo)
2
With code
0
Influential cites
0
Benchmarked
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Publications per year

2
26

Top categories

Crypto×2Databases×2ML×1

Frequent co-authors

Zinan Lin1×
Sergey Yekhanin1×
Tim Li1×
Shufan Zhang1×
Karl Knopf1×
Xi He1×

Research Timeline

2026
Interpreting the Error of Differentially Private Median Queries through Randomization Intervals

The paper introduces PostRI, a novel method that allows for computing a Randomization Interval (RI) for differentially private median queries after the median has already been estimated, significantly improving utility compared to prior work.

PE-means: Improved Differentially Private $k$-means Clustering through Private Evolution

The paper introduces PE-means, an improved differentially private $k$-means clustering method that uses the Private Evolution (PE) algorithm to achieve better clustering loss compared to existing state-of-the-art techniques.

Highlighted terms show continued research focus across papers

Papers

cs.LGcs.CRcs.DBRecentMay 29, 2026

PE-means: Improved Differentially Private $k$-means Clustering through Private Evolution

Thomas Humphries, Zinan Lin, Sergey Yekhanin

The paper introduces PE-means, an improved differentially private $k$-means clustering method that uses the Private Evolution (PE) algorithm to achieve better clustering loss compared to existing stat…

View →
cs.CRcs.DBRecentApr 8, 2026

Interpreting the Error of Differentially Private Median Queries through Randomization Intervals

Thomas Humphries, Tim Li, Shufan Zhang, Karl Knopf +1 more

The paper introduces PostRI, a novel method that allows for computing a Randomization Interval (RI) for differentially private median queries after the median has already been estimated, significantly…

View →