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Rethinking Batch Normalization in Transformers

Mar 17, 2020
Sheng Shen, Zhewei Yao, Amir Gholami, Michael Mahoney, Kurt Keutzer


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PyHessian: Neural Networks Through the Lens of the Hessian

Jan 02, 2020
Zhewei Yao, Amir Gholami, Kurt Keutzer, Michael Mahoney


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ANODEV2: A Coupled Neural ODE Evolution Framework

Jun 10, 2019
Tianjun Zhang, Zhewei Yao, Amir Gholami, Kurt Keutzer, Joseph Gonzalez, George Biros, Michael Mahoney


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HAWQ: Hessian AWare Quantization of Neural Networks with Mixed-Precision

Apr 29, 2019
Zhen Dong, Zhewei Yao, Amir Gholami, Michael Mahoney, Kurt Keutzer


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Trust Region Based Adversarial Attack on Neural Networks

Dec 16, 2018
Zhewei Yao, Amir Gholami, Peng Xu, Kurt Keutzer, Michael Mahoney


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Parameter Re-Initialization through Cyclical Batch Size Schedules

Dec 04, 2018
Norman Mu, Zhewei Yao, Amir Gholami, Kurt Keutzer, Michael Mahoney

* Presented in Systems for Machine Learning Workshop at NeurIPS'18 conference 

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Large batch size training of neural networks with adversarial training and second-order information

Oct 02, 2018
Zhewei Yao, Amir Gholami, Kurt Keutzer, Michael Mahoney

* 17 pages 

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A Statistical Perspective on Randomized Sketching for Ordinary Least-Squares

Aug 25, 2015
Garvesh Raskutti, Michael Mahoney

* 27 pages, 5 figures 

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Quasi-Monte Carlo Feature Maps for Shift-Invariant Kernels

Aug 09, 2015
Haim Avron, Vikas Sindhwani, Jiyan Yang, Michael Mahoney

* A short version of this paper has been presented in ICML 2014 

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Statistical and Algorithmic Perspectives on Randomized Sketching for Ordinary Least-Squares -- ICML

May 25, 2015
Garvesh Raskutti, Michael Mahoney

* 9 pages, Proceedings of the 32 nd International Conference on Machine Learning, Lille, France, 2015. JMLR 

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