170 citations · 528 across the 46 of their papers we have counts for
49 papers
Tracking and Predicting Evolution of Social Communities
Mark Goldberg, Malik Magdon-Ismail, Srinivas Nambirajan +1
We develop an algorithmic framework for studying the evolution of communities in social networks. We begin with the theoretical foundation, from which we conclude that an evolution…
Reduced Label Complexity For Tight Regression
Alex Gittens, Malik Magdon-Ismail
Given data and labels the goal is find to minimize $\Vert{\rm X}\mathbf{w}-\mathbf{y}\V…
Learning GraphQL Query Costs (Extended Version)
Georgios Mavroudeas, Guillaume Baudart, Alan Cha +5
GraphQL is a query language for APIs and a runtime for executing those queries, fetching the requested data from existing microservices, REST APIs, databases, or other sources. Its…
NoisyCUR: An algorithm for two-cost budgeted matrix completion
Dong Hu, Alex Gittens, Malik Magdon-Ismail
Matrix completion is a ubiquitous tool in machine learning and data analysis. Most work in this area has focused on the number of observations necessary to obtain an accurate low-r…
An Algorithm for Reconstructing the Orphan Stream Progenitor with MilkyWay@home Volunteer Computing
Siddhartha Shelton, Heidi Jo Newberg, Jake Weiss +16
We have developed a method for estimating the properties of the progenitor dwarf galaxy from the tidal stream of stars that were ripped from it as it fell into the Milky Way. In pa…
Training Deep Neural Networks with Constrained Learning Parameters
Prasanna Date, Christopher D. Carothers, John E. Mitchell +2
Today's deep learning models are primarily trained on CPUs and GPUs. Although these models tend to have low error, they consume high power and utilize large amount of memory owing…