papers
Publications (9)
math.PR2012
The Masked Sample Covariance Estimator: An Analysis via Matrix Concentration Inequalities
Richard Y. Chen, Alex Gittens, Joel A. Tropp
cs.LG2019
Scalable Kernel K-Means Clustering with Nystrom Approximation: Relative-Error Bounds
Shusen Wang, Alex Gittens, Michael W. Mahoney
cs.DC2018
Accelerating Large-Scale Data Analysis by Offloading to High-Performance Computing Libraries using Alchemist
Alex Gittens, Kai Rothauge, Shusen Wang +6
math.NA2011
The spectral norm error of the naive Nystrom extension
Alex Gittens
cs.DC2016
Matrix Factorization at Scale: a Comparison of Scientific Data Analytics in Spark and C+MPI Using Three Case Studies
Alex Gittens, Aditya Devarakonda, Evan Racah +14
cs.LG2015
Tensor machines for learning target-specific polynomial features
Jiyan Yang, Alex Gittens
stat.ML2013
Compact Random Feature Maps
Raffay Hamid, Ying Xiao, Alex Gittens +1
math.PR2011
Tail bounds for all eigenvalues of a sum of random matrices
Alex Gittens, Joel A. Tropp
cs.DC2018
Alchemist: An Apache Spark <=> MPI Interface
Alex Gittens, Kai Rothauge, Shusen Wang +6