Publications
Found 50 results
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Filters: Author is Michael W. Mahoney [Clear All Filters]
(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). 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). Feature-distributed sparse regression: a screen-and-clean approach.
Proceedings of the 2016 NIPS Conference.
(2016). 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). 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 Simple and Strongly-Local Flow-Based Method for Cut Improvement.
Proceedings of the 33rd ICML Conference.
(2016).
(2015). Statistical Mechanics Methods for Discovering Knowledge from Modern Production Quality Neural Networks.
Proceedings of the 25th Annual SIGKDD. 3239-3240.
(2019). Sub-sampled Newton Methods with Non-uniform Sampling.
Proceedings of the 2016 NIPS Conference.
(2016). Traditional and Heavy-Tailed Self Regularization in Neural Network Models.
Proceeding of the 36th ICML Conference. 4284-4293.
(2019). Unified Acceleration Method for Packing and Covering Problems via Diameter Reduction.
Proceedings of the 43rd ICALP Conference.
(2015).