Publications
Found 50 results
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Filters: Author is Michael W. Mahoney [Clear All Filters]
ANODEV2: A Coupled Neural ODE Evolution Framework.
Proceedings of the 2019 NeurIPS Conference.
(2019).
(2014).
(2016).
(2016). DCAR: A Discriminative and Compact Audio Representation for Audio Processing.
IEEE Transactions on Multimedia. PP(99),
(2017). 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).
(2014).
(2015).
Feature-distributed sparse regression: a screen-and-clean approach.
Proceedings of the 2016 NIPS Conference.
(2016).
(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). Identifying Important Ions and Positions in Mass Spectrometry Imaging Data Using CUR Matrix Decompositions.
Analytical Chemistry. 87(9), 4658-4666.
(2015).
(2015). Inefficiency of K-FAC for Large Batch Size Training.
Proceedings of the AAAI-20 Conference.
(2020). Mapping the Similarities of Spectra: Global and Locally-biased Approaches to SDSS Galaxy Data.
The Astrophysical Journal.
(2016).
(2018).
(2016). Minimax experimental design: Bridging the gap between statistical and worst-case approaches to least squares regression.
Proceedings of 2019 COLT.
(2019). Mining Large graphs.
Handbook of Big Data. 191-220.
(2016). 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). A New Spin on an Old Algorithm: Technical Perspective on "Communication Costs of Strassen's Matrix Multiplication".
Communications of the ACM. 57(2), 106.
(2014).