Publications
(2018).
Mining Large graphs.
Handbook of Big Data. 191-220.
(2016). Structural properties underlying high-quality Randomized Numerical Linear Algebra algorithms.
Handbook of Big Data. 137-154.
(2016). Accelerating Large-Scale Data Analysis by Offloading to High-Performance Computing Libraries using Alchemist.
Proceedings of the 24th Annual SIGKDD. 293-301.
(2018). ANODEV2: A Coupled Neural ODE Evolution Framework.
Proceedings of the 2019 NeurIPS Conference.
(2019).
(2014).
(2016).
(2016). A discriminative and compact audio representation for event detection.
Proceedings of the 2016 ACM Conference on Multimedia (MM '16). 57-61.
(2016). Distributed estimation of the inverse Hessian by determinantal averaging.
Proceedings of the 2019 NeurIPS Conference.
(2019). Error Estimation for Randomized Least-Squares Algorithms via the Bootstrap.
Proceedings of the 35th ICML Conference. 3223-3232.
(2018). Feature-distributed sparse regression: a screen-and-clean approach.
Proceedings of the 2016 NIPS Conference.
(2016). GPU Accelerated Sub-Sampled Newton's Method.
Proceedings of the 2019 SDM Conference. 702-710.
(2019). HAWQ: Hessian AWare Quantization of Neural Networks with Mixed-Precision.
Proceedings of ICCV 2019.
(2019). Heavy-Tailed Universality Predicts Trends in Test Accuracies for Very Large Pre-Trained Deep Neural Networks.
Proceedings of 2020 SDM Conference.
(2020). Hessian-based Analysis of Large Batch Training and Robustness to Adversaries.
Proceedings of the 2018 NeurIPS Conference. 4954-4964.
(2018). Inefficiency of K-FAC for Large Batch Size Training.
Proceedings of the AAAI-20 Conference.
(2020). Minimax experimental design: Bridging the gap between statistical and worst-case approaches to least squares regression.
Proceedings of 2019 COLT.
(2019). A multi-platform evaluation of the randomized CX low-rank matrix factorization in Spark.
Proceedings of the 5th International Workshop on Parallel and Distributed Computing for Large Scale Machine Learning and Big Data Analytics.
(2016). Parallel Local Graph Clustering.
Proceedings of the VLDB Endowment. 9(12),
(2016). Q-BERT: Hessian Based Ultra Low Precision Quantization of BERT.
Proceedings of the AAAI-20 Conference.
(2020).
(2014).
(2014). A Short Introduction to Local Graph Clustering Methods and Software.
Abstracts of the 7th International Conference on Complex Networks and Their Applications.
(2018). A Simple and Strongly-Local Flow-Based Method for Cut Improvement.
Proceedings of the 33rd ICML Conference.
(2016).