Publications
Weighted SGD for ℓp Regression with Randomized Preconditioning.
Proceedings of the 27th Annual SODA Conference. 558-569.
(2015). Using Local Spectral Methods to Robustify Graph-Based Learning Algorithms.
Proceedings of the 21st Annual SIGKDD.
(2015). Unified Acceleration Method for Packing and Covering Problems via Diameter Reduction.
Proceedings of the 43rd ICALP Conference.
(2015). Trust Region Based Adversarial Attack on Neural Networks.
Proceedings of the 32nd CVPR Conference. 11350-11359.
(2019).
(2014). Traditional and Heavy-Tailed Self Regularization in Neural Network Models.
Proceeding of the 36th ICML Conference. 4284-4293.
(2019).
(2014). Sub-sampled Newton Methods with Non-uniform Sampling.
Proceedings of the 2016 NIPS Conference.
(2016).
(2016).
(2016). Sub-Sampled Newton Methods.
Mathematical Programming. 293-326.
(2019).
(2015). Structural properties underlying high-quality Randomized Numerical Linear Algebra algorithms.
Handbook of Big Data. 137-154.
(2016).
(2014). Statistical Mechanics Methods for Discovering Knowledge from Modern Production Quality Neural Networks.
Proceedings of the 25th Annual SIGKDD. 3239-3240.
(2019).
(2015).
(2022). A Simple and Strongly-Local Flow-Based Method for Cut Improvement.
Proceedings of the 33rd ICML Conference.
(2016). Signal Processing for Big Data (Editorial for Special Issue).
IEEE Signal Processing Magazine. 31, 15-16.
(2014). A Short Introduction to Local Graph Clustering Methods and Software.
Abstracts of the 7th International Conference on Complex Networks and Their Applications.
(2018). Shallow neural networks for fluid flow reconstruction with limited sensors.
Proceedings of the Royal Society A. 476(2238),
(2020).
(2014).
RandNLA: Randomized Numerical Linear Algebra.
Communications of the ACM. 59, 80-90.
(2016).
(2016).