2 citations · 2 across the 1 of their papers we have counts for
3 papers
cs.CL2018
Evaluating Word Embedding Hyper-Parameters for Similarity and Analogy Tasks
Maryam Fanaeepour, Adam Makarucha, Jey Han Lau
The versatility of word embeddings for various applications is attracting researchers from various fields. However, the impact of hyper-parameters when training embedding model is…
cs.DB2017★ 2 cited
End-to-End Differentially-Private Parameter Tuning in Spatial Histograms
Maryam Fanaeepour, Benjamin I. P. Rubinstein
Differentially-private histograms have emerged as a key tool for location privacy. While past mechanisms have included theoretical & experimental analysis, it has recently been obs…
cs.DB2016
Differentially-Private Counting of Users' Spatial Regions
Maryam Fanaeepour, Benjamin I. P. Rubinstein
Mining of spatial data is an enabling technology for mobile services, Internet-connected cars, and the Internet of Things. But the very distinctiveness of spatial data that drives…