106 citations · 115 across the 5 of their papers we have counts for
5 papers
Fast Private Kernel Density Estimation via Locality Sensitive Quantization
Tal Wagner, Yonatan Naamad, Nina Mishra
We study efficient mechanisms for differentially private kernel density estimation (DP-KDE). Prior work for the Gaussian kernel described algorithms that run in time exponential in…
Explaining a machine learning decision to physicians via counterfactuals
Supriya Nagesh, Nina Mishra, Yonatan Naamad +3
Machine learning models perform well on several healthcare tasks and can help reduce the burden on the healthcare system. However, the lack of explainability is a major roadblock t…
Predicting Preference Flips in Commerce Search
Or Sheffet, Nina Mishra, Samuel Ieong
Traditional approaches to ranking in web search follow the paradigm of rank-by-score: a learned function gives each query-URL combination an absolute score and URLs are ranked acco…
Privacy via the Johnson-Lindenstrauss Transform
Krishnaram Kenthapadi, Aleksandra Korolova, Ilya Mironov +1
Suppose that party A collects private information about its users, where each user's data is represented as a bit vector. Suppose that party B has a proprietary data mining algorit…
Adapting to the Shifting Intent of Search Queries
Umar Syed, Aleksandrs Slivkins, Nina Mishra
Search engines today present results that are often oblivious to abrupt shifts in intent. For example, the query `independence day' usually refers to a US holiday, but the intent o…