Publications

Found 983 results
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2021
Balakrishnan, H., Banerjee S., Cidon I., Culler D. E., Estrin D., Katz-Basset E. B., et al. (2021).  Revitalizing the public internet by making it extensible. ACM SIGCOMM Computer Communication Review . 51(2), 18-24.
2020
Martin, C.. H., & Mahoney M. (2020).  Heavy-Tailed Universality Predicts Trends in Test Accuracies for Very Large Pre-Trained Deep Neural Networks. Proceedings of 2020 SDM Conference.
Martin, C.. H., & Mahoney M. (2020).  Heavy-Tailed Universality Predicts Trends in Test Accuracies for Very Large Pre-Trained Deep Neural Networks. Proceedings of 2020 SDM Conference.
Saha, D., Schumann C., McElfresh D. C., Dickerson J. P., Mazurek M. L., & Tschantz M. Carl (2020).  Human Comprehension of Fairness in Machine Learning. AIES '20: Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society. 152.
Saha, D., Schumann C., McElfresh D. C., Dickerson J. P., Mazurek M. L., & Tschantz M. Carl (2020).  Human Comprehension of Fairness in Machine Learning. AIES '20: Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society. 152.
Ma, L.., Montague G.., Ye J.., Yao Z.., Gholami A.., Keutzer K.., et al. (2020).  Inefficiency of K-FAC for Large Batch Size Training. Proceedings of the AAAI-20 Conference.
Ma, L.., Montague G.., Ye J.., Yao Z.., Gholami A.., Keutzer K.., et al. (2020).  Inefficiency of K-FAC for Large Batch Size Training. Proceedings of the AAAI-20 Conference.
Ma, L.., Montague G.., Ye J.., Yao Z.., Gholami A.., Keutzer K.., et al. (2020).  Inefficiency of K-FAC for Large Batch Size Training. Proceedings of the AAAI-20 Conference.
Harchol, Y., Mushtaq A., Fang V., McCauley J. Murphy, Panda A., & Shenker S. J. (2020).  Making edge-computing resilient. SoCC '20: Proceedings of the 11th ACM Symposium on Cloud Computing. 253-266.
Harchol, Y., Mushtaq A., Fang V., McCauley J. Murphy, Panda A., & Shenker S. J. (2020).  Making edge-computing resilient. SoCC '20: Proceedings of the 11th ACM Symposium on Cloud Computing. 253-266.
Hodgkinson, L., & Mahoney M. (2020).  Multiplicative Noise and Heavy Tails in Stochastic Optimization.
Shen, S.., Dong Z.., Ye J.., Ma L.., Yao Z.., Gholami A.., et al. (2020).  Q-BERT: Hessian Based Ultra Low Precision Quantization of BERT. Proceedings of the AAAI-20 Conference.
Shen, S.., Dong Z.., Ye J.., Ma L.., Yao Z.., Gholami A.., et al. (2020).  Q-BERT: Hessian Based Ultra Low Precision Quantization of BERT. Proceedings of the AAAI-20 Conference.
N. Erichson, B., Mathelin L., Yao Z., Bruntonq S. L., Mahoney M., & J. Kutz N. (2020).  Shallow neural networks for fluid flow reconstruction with limited sensors. Proceedings of the Royal Society A. 476(2238), 
N. Erichson, B., Mathelin L., Yao Z., Bruntonq S. L., Mahoney M., & J. Kutz N. (2020).  Shallow neural networks for fluid flow reconstruction with limited sensors. Proceedings of the Royal Society A. 476(2238), 
2019
Metere, A. (2019).  AI will never conquer humanity. It’s too rational. Cosmos Magazine.
Zhang, T.., Yao Z.., Gholami A.., Keutzer K.., Gonzalez J.., Biros G.., et al. (2019).  ANODEV2: A Coupled Neural ODE Evolution Framework. Proceedings of the 2019 NeurIPS Conference.
Zarchy, D., Mittal R., Schapira M., & Shenker S. J. (2019).   Axiomatizing Congestion Control. Proceedings of the ACM on Measurement and Analysis of Computing Systems. 3(2), 
Mushtaq, A., Mittal R., McCauley J., Alizadeh M., Ratnasamy S., & Shenker S. J. (2019).  Datacenter congestion control: identifying what is essential and making it practical. ACM SIGCOMM Computer Communication Review. 49(3), 32-38.
Mushtaq, A., Mittal R., McCauley J., Alizadeh M., Ratnasamy S., & Shenker S. J. (2019).  Datacenter congestion control: identifying what is essential and making it practical. ACM SIGCOMM Computer Communication Review. 49(3), 32-38.
Mushtaq, A., Mittal R., McCauley J., Alizadeh M., Ratnasamy S., & Shenker S. J. (2019).  Datacenter congestion control: identifying what is essential and making it practical. ACM SIGCOMM Computer Communication Review. 49(3), 32-38.
Byers, J. W., Luby M., & Mitzenmacher M. (2019).  A digital fountain retrospective. ACM SIGCOMM Computer Communication Review. 49(5), 82-85.
Derezinski, M.., & Mahoney M. (2019).  Distributed estimation of the inverse Hessian by determinantal averaging. Proceedings of the 2019 NeurIPS Conference.
McCauley, J., Harchol Y., Panda A., Raghavan B., & Shenker S. J. (2019).   Enabling a permanent revolution in internet architecture. Proceedings of the ACM Special Interest Group on Data Communication SIGCOMM '19.
Casado, M., McKeown N., & Shenker S. J. (2019).  From ethane to SDN and beyond. ACM SIGCOMM Computer Communication Review. 49(5), 92-95.

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