Sotabase

Career

· Associate Professor, Rensselaer Polytechnic Institute2025–
· Assistant Professor, Rensselaer Polytechnic Institute2017–2025
· Research Scientist, International Computer Science Institute2015–2016
· Postdoctoral Researcher, University of California, Berkeley2014–2017
· Research Intern, eBay2013–
· Research Scientist, eBay Research Labs2013–2015
· Research Intern, IBM2012–2012
· Graduate Student, California Institute of Technology2006–2013

Publications (62)

Revisiting the Nystrom Method for Improved Large-scale Machine Learning
Journal of machine learning research · 2013
434
cited
Improved Matrix Algorithms via the Subsampled Randomized Hadamard Transform
SIAM Journal on Matrix Analysis and Applications · 2012
153
cited
Scalable Kernel K-Means Clustering with Nystrom Approximation: Relative-Error Bounds
Journal of machine learning research · 2017
135
cited
Skip-Gram − Zipf + Uniform = Vector Additivity
Annual Meeting of the Association for Computational Linguistics · 2017
96
cited
Compact Random Feature Maps
International Conference on Machine Learning · 2013
87
cited
Sketched Ridge Regression: Optimization Perspective, Statistical Perspective, and Model Averaging
International Conference on Machine Learning · 2017
86
cited
The spectral norm error of the naive Nystrom extension
arXiv.org · 2011
77
cited
The Masked Sample Covariance Estimator: An Analysis via Matrix Concentration Inequalities
2011
72
cited
TAIL BOUNDS FOR ALL EIGENVALUES OF A SUM OF RANDOM MATRICES
2011
55
cited
MALOnt: An Ontology for Malware Threat Intelligence
Deployable Machine Learning for Security Defense · 2020
52
cited
Approximate Spectral Clustering via Randomized Sketching
arXiv.org · 2013
51
cited
2016 Ieee International Conference on Big Data (big Data) Matrix Factorizations at Scale: a Comparison of Scientific Data Analytics in Spark and C+mpi Using Three Case Studies
50
cited
Matrix Factorization at Scale: a Comparison of Scientific Data Analytics in Spark and C+MPI Using Three Case Studies
arXiv.org · 2016
39
cited
Breaking Locality Accelerates Block Gauss-Seidel
International Conference on Machine Learning · 2017
34
cited
Group Collaborative Representation for Image Set Classification
International Journal of Computer Vision · 2018
32
cited
Spectral Clustering via the Power Method - Provably
International Conference on Machine Learning · 2013
31
cited
Error Bounds for Random Matrix Approximation Schemes
2009
28
cited
H 5 Spark : Bridging the I / O Gap between Spark and Scientific Data Formats on HPC Systems
2016
26
cited
Reading StackOverflow Encourages Cheating: Adding Question Text Improves Extractive Code Generation
NLP4PROG · 2021
22
cited
Topics in randomized numerical linear algebra
2013
19
cited
Sotabase
Alex Gittens | Researcher Profile | Sotabase | Sotabase