Machine-learning algorithms are employed in a wide variety of applications to extract useful information from data sets, and many are known to suffer from superlinear increases in ...
Karthik Nagarajan, Brian Holland, Alan D. George, ...
Distributed key-value stores are now a standard component of high-performance web services and cloud computing applications. While key-value stores offer significant performance...
— Differential privacy has recently emerged as the de facto standard for private data release. This makes it possible to provide strong theoretical guarantees on the privacy and ...
Graham Cormode, Cecilia M. Procopiuc, Divesh Sriva...
A pervasive problem in large relational databases is identity uncertainty which occurs when multiple entries in a database refer to the same underlying entity in the world. Relati...
Intuitively, aggressive work sharing among concurrent queries in a database system should always improve performance by eliminating redundant computation or data accesses. We show...
Ryan Johnson, Nikos Hardavellas, Ippokratis Pandis...