4 citations · 4 across the 1 of their papers we have counts for
3 papers
A Members First Approach to Enabling LinkedIn's Labor Market Insights at Scale
Ryan Rogers, Adrian Rivera Cardoso, Koray Mancuhan +5
We describe the privatization method used in reporting labor market insights from LinkedIn's Economic Graph, including the differentially private algorithms used to protect member'…
LinkedIn's Audience Engagements API: A Privacy Preserving Data Analytics System at Scale
Ryan Rogers, Subbu Subramaniam, Sean Peng +5
We present a privacy system that leverages differential privacy to protect LinkedIn members' data while also providing audience engagement insights to enable marketing analytics re…
MCA-based Rule Mining Enables Interpretable Inference in Clinical Psychiatry
Qingzhu Gao, Humberto Gonzalez, Parvez Ahammad
Development of interpretable machine learning models for clinical healthcare applications has the potential of changing the way we understand, treat, and ultimately cure, diseases…