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Sparse sketches with small inversion bias

Nov 21, 2020
MichaƂ DereziƄski, Zhenyu Liao, Edgar Dobriban, Michael W. Mahoney


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HAWQV3: Dyadic Neural Network Quantization

Nov 20, 2020
Zhewei Yao, Zhen Dong, Zhangcheng Zheng, Amir Gholami, Jiali Yu, Eric Tan, Leyuan Wang, Qijing Huang, Yida Wang, Michael W. Mahoney, Kurt Keutzer


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A Statistical Framework for Low-bitwidth Training of Deep Neural Networks

Oct 27, 2020
Jianfei Chen, Yu Gai, Zhewei Yao, Michael W. Mahoney, Joseph E. Gonzalez

* 24 pages 

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Fast Distributed Training of Deep Neural Networks: Dynamic Communication Thresholding for Model and Data Parallelism

Oct 18, 2020
Vipul Gupta, Dhruv Choudhary, Ping Tak Peter Tang, Xiaohan Wei, Xing Wang, Yuzhen Huang, Arun Kejariwal, Kannan Ramchandran, Michael W. Mahoney

* 17 pages, 8 figures 

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MAF: Multimodal Alignment Framework for Weakly-Supervised Phrase Grounding

Oct 12, 2020
Qinxin Wang, Hao Tan, Sheng Shen, Michael W. Mahoney, Zhewei Yao


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Sparse Quantized Spectral Clustering

Oct 03, 2020
Zhenyu Liao, Romain Couillet, Michael W. Mahoney


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Benchmarking Semi-supervised Federated Learning

Aug 26, 2020
Zhengming Zhang, Zhewei Yao, Yaoqing Yang, Yujun Yan, Joseph E. Gonzalez, Michael W. Mahoney


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Continuous-in-Depth Neural Networks

Aug 05, 2020
Alejandro F. Queiruga, N. Benjamin Erichson, Dane Taylor, Michael W. Mahoney


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Noise-response Analysis for Rapid Detection of Backdoors in Deep Neural Networks

Jul 31, 2020
N. Benjamin Erichson, Dane Taylor, Qixuan Wu, Michael W. Mahoney


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Adversarially-Trained Deep Nets Transfer Better

Jul 11, 2020
Francisco Utrera, Evan Kravitz, N. Benjamin Erichson, Rajiv Khanna, Michael W. Mahoney


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Boundary thickness and robustness in learning models

Jul 09, 2020
Yaoqing Yang, Rajiv Khanna, Yaodong Yu, Amir Gholami, Kurt Keutzer, Joseph E. Gonzalez, Kannan Ramchandran, Michael W. Mahoney


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Debiasing Distributed Second Order Optimization with Surrogate Sketching and Scaled Regularization

Jul 02, 2020
MichaƂ DereziƄski, Burak Bartan, Mert Pilanci, Michael W. Mahoney


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Good linear classifiers are abundant in the interpolating regime

Jun 22, 2020
Ryan Theisen, Jason M. Klusowski, Michael W. Mahoney


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Lipschitz Recurrent Neural Networks

Jun 22, 2020
N. Benjamin Erichson, Omri Azencot, Alejandro Queiruga, Michael W. Mahoney


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Precise expressions for random projections: Low-rank approximation and randomized Newton

Jun 18, 2020
MichaƂ DereziƄski, Feynman Liang, Zhenyu Liao, Michael W. Mahoney


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Multiplicative noise and heavy tails in stochastic optimization

Jun 11, 2020
Liam Hodgkinson, Michael W. Mahoney

* 30 pages, 7 figures 

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A random matrix analysis of random Fourier features: beyond the Gaussian kernel, a precise phase transition, and the corresponding double descent

Jun 09, 2020
Zhenyu Liao, Romain Couillet, Michael W. Mahoney


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ADAHESSIAN: An Adaptive Second Order Optimizer for Machine Learning

Jun 01, 2020
Zhewei Yao, Amir Gholami, Sheng Shen, Kurt Keutzer, Michael W. Mahoney


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Determinantal Point Processes in Randomized Numerical Linear Algebra

May 07, 2020
MichaƂ DereziƄski, Michael W. Mahoney


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Error Estimation for Sketched SVD via the Bootstrap

Mar 10, 2020
Miles E. Lopes, N. Benjamin Erichson, Michael W. Mahoney


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Forecasting Sequential Data using Consistent Koopman Autoencoders

Mar 04, 2020
Omri Azencot, N. Benjamin Erichson, Vanessa Lin, Michael W. Mahoney


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Stochastic Normalizing Flows

Feb 25, 2020
Liam Hodgkinson, Chris van der Heide, Fred Roosta, Michael W. Mahoney

* 17 pages, 4 figures 

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Asymptotic Analysis of Sampling Estimators for Randomized Numerical Linear Algebra Algorithms

Feb 24, 2020
Ping Ma, Xinlian Zhang, Xin Xing, Jingyi Ma, Michael W. Mahoney

* 33 pages, 13 figures 

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Improved guarantees and a multiple-descent curve for the Column Subset Selection Problem and the Nyström method

Feb 21, 2020
MichaƂ DereziƄski, Rajiv Khanna, Michael W. Mahoney


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Predicting trends in the quality of state-of-the-art neural networks without access to training or testing data

Feb 17, 2020
Charles H. Martin, Tongsu, Peng, Michael W. Mahoney

* 22 pages, 8 tables, 8 figures 

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ZeroQ: A Novel Zero Shot Quantization Framework

Jan 01, 2020
Yaohui Cai, Zhewei Yao, Zhen Dong, Amir Gholami, Michael W. Mahoney, Kurt Keutzer


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LSAR: Efficient Leverage Score Sampling Algorithm for the Analysis of Big Time Series Data

Dec 26, 2019
Ali Eshragh, Fred Roosta, Asef Nazari, Michael W. Mahoney

* 38 pages, 8 figures 

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Exact expressions for double descent and implicit regularization via surrogate random design

Dec 10, 2019
MichaƂ DereziƄski, Feynman Liang, Michael W. Mahoney


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