papers
Publications (10)
cs.IR2019
Bias in Bios: A Case Study of Semantic Representation Bias in a High-Stakes Setting
Maria De-Arteaga, Alexey Romanov, Hanna Wallach +6
cs.SI2017
LinkedIn Salary: A System for Secure Collection and Presentation of Structured Compensation Insights to Job Seekers
Krishnaram Kenthapadi, Ahsan Chudhary, Stuart Ambler
cs.SI2017
Dionysius: A Framework for Modeling Hierarchical User Interactions in Recommender Systems
Jian Wang, Krishnaram Kenthapadi, Kaushik Rangadurai +1
cs.LG2018
Towards Deep and Representation Learning for Talent Search at LinkedIn
Rohan Ramanath, Hakan Inan, Gungor Polatkan +6
cs.AI2018
Talent Search and Recommendation Systems at LinkedIn: Practical Challenges and Lessons Learned
Sahin Cem Geyik, Qi Guo, Bo Hu +4
cs.SI2017
Bringing Salary Transparency to the World: Computing Robust Compensation Insights via LinkedIn Salary
Krishnaram Kenthapadi, Stuart Ambler, Liang Zhang +1
cs.CR2018
PriPeARL: A Framework for Privacy-Preserving Analytics and Reporting at LinkedIn
Krishnaram Kenthapadi, Thanh T. L. Tran
cs.DS2012
Privacy via the Johnson-Lindenstrauss Transform
Krishnaram Kenthapadi, Aleksandra Korolova, Ilya Mironov +1
cs.LG2019
What's in a Name? Reducing Bias in Bios without Access to Protected Attributes
Alexey Romanov, Maria De-Arteaga, Hanna Wallach +7
cs.SI2018
How LinkedIn Economic Graph Bonds Information and Product: Applications in LinkedIn Salary
Xi Chen, Yiqun Liu, Liang Zhang +1