Former Students of Jeff Phillips
Zahra Fahimfar (MS Thesis 2018) Detecting Potential Lensed Galaxies Behind Foreground Galaxy Targets Using Machine Learning Techniques
Giorgi Kvernadze (BS Thesis 2018) Data-Driven Secret Santa | first job @ MS student in Computing @ UofU.
Roy Y. Wong (MS Thesis 2017) Moran's I Spatial Auto-Correlation and Anomaly Detection Utilizing PCA and High Dimensional Feature Vectors
Safia Hassan (BS Thesis 2017) Evaluating the Relationship between Vector Spaces of Word Embeddings | first job @ MS student in Computing at UofU.
Mina Ghashami (PhD 2017) On FrequentDirections | first job @ Rutgers CS as postdoc with Muthu.
Efficient Frequent Directions Algorithm for Sparse Matrices.
Mina Ghashami, Edo Liberty, and Jeff M. Phillips.
ACM Conference on Knowledge Discovery and Data Mining (KDD).
Streaming Kernel Principal Component Analysis.
Mina Ghashami, Daniel Perry, and Jeff M. Phillips.
International Conference on Artificial Intelligence and Statistics (AISTATS).
Improved Practical Matrix Sketching with Guarantees.
Mina Ghashami, Amey Desai, and Jeff M. Phillips.
Transactions on Knowledge and Data Engineering (TKDE) 28:07, pp 1678--1690, 2016.
earlier shorter version appeared in
22nd Annual European Symposium on Algorithms (ESA).
Reproduce our results on APTlab. (You may need to log in, and then click link again)
Continuous Matrix Approximation on Distributed Data.
Mina Ghashami, Jeff M. Phillips, and Feifei Li.
40th International Conference on Very Large Data Bases (VLDB).
full version: arXiv:1404.7571.
Frequent Directions: Simple and Deterministic Matrix Sketching.
Mina Ghashami, Edo Liberty, Jeff M. Phillips and David P. Woodruff.
SIAM Journal of Computing (SICOMP) 45:5, 2016.
Python Code, with some backend in C.
this mainly extends and replaces:
Relative Errors for Deterministic Low-Rank Matrix Approximations.
Mina Ghashami and Jeff M. Phillips.
25th Annual ACM-SIAM Symposium on Discrete Algorithms (SoDA).
Yan Zheng (PhD 2017) Algorithms and Coresets for Large Scale Kernel Smoothing | first job @ Visa Research
Drew McClelland (BS Thesis 2017) Analysis of Mapping Techniques on a Spatial Scan Statistic | first job @ Qualtrics
Yi Oi (MS 2017) Visualization of Large Scale Spatial Data Using Kernel Density Estimates | first job @ Expedia
Sierra Allred (BS Thesis 2016) College Cost Analyzer: Pick Want You Can Pay For | first job @ MS program in Utah SoC
KaiQiang Wang (MS 2016) Stability of the Null Distribution for Spatial Scan Statistics | first job @ Google
Liang Zhang (MS 2015) Stability of Spatial Scan Statistics | first job @ Microsoft
Raghvendra Singh (MS Thesis 2015) Scalable Spatial Scan Statistics | first job @ InsideSales
Jamie Iong (BS Thesis 2015) Solving K-depth Coverage problem using Sweep Line Algorithm and Red Black Tree | first job @ EMC
Tami Porter-Jones (BS Thesis 2015) Detecting Large DNA Rearrangements Using NGS Data | first job @ Myriad Genetics
Amey Desai (MS Thesis 2014) Streaming Algorithms for Matrix Approximation | first job @ UrbanEngines (Bay Area startup) -> Google
Shashanka Krishnaswamy (MS 2013) Quality Control in Weather Updates Via Quantiles | first job @ Amazon
Supraja Jayakumar (MS 2013) Uncertain Centerpoints | first job @ Cerner Systems
Alex Clemmer (BS Thesis 2013) Streaming LDA | first jobs @ Hacker's School + Microsoft
In 2017 Alex's paper was awarded best paper at ACM SIGIR!