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Matthew Norton 0001

Matthew D. Norton

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affiliation: Target Corporation, Minneapolis, MN, USA
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Journal Articles

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2023
[j4]
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  - journals/ml/NortonR23
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Matthew D. Norton, Johannes O. Royset:
Diametrical Risk Minimization: theory and computations. Mach. Learn. 112(8): 2933-2951 (2023)
2019
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Matthew Norton, Stan Uryasev:
Maximization of AUC and Buffered AUC in binary classification. Math. Program. 174(1-2): 575-612 (2019)
2018
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Matthew Norton, Alexander Mafusalov, Stan Uryasev:
Cardinality of Upper Average and Its Application to Network Optimization. SIAM J. Optim. 28(2): 1726-1750 (2018)
2017
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Matthew Norton, Alexander Mafusalov, Stan Uryasev:
Soft Margin Support Vector Classification as Buffered Probability Minimization. J. Mach. Learn. Res. 18: 68:1-68:43 (2017)

Conference and Workshop Papers

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2019
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  - conf/aaai/YuanFN019
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Xiaoyong Yuan, Zheng Feng, Matthew Norton, Xiaolin Li:
Generalized Batch Normalization: Towards Accelerating Deep Neural Networks. AAAI 2019: 1682-1689
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Damian Oslebo, Keith Corzine, Todd Weatherford, Atif Maqsood, Matthew Norton:
DC Pulsed Load Transient Classification Using Long Short-Term Memory Recurrent Neural Networks. ICSPCS 2019: 1-6

Informal and Other Publications

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2021
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  - journals/corr/abs-2101-05129
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Anirban Chaudhuri, Boris Kramer, Matthew Norton, Johannes O. Royset, Karen Willcox:
Certifiable Risk-Based Engineering Design Optimization. CoRR abs/2101.05129 (2021)
2019
[i3]
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  - journals/corr/abs-1910-10844
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Matthew Norton, Johannes O. Royset:
Diametrical Risk Minimization: Theory and Computations. CoRR abs/1910.10844 (2019)
2018
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  - journals/corr/abs-1812-03271
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Xiaoyong Yuan, Zheng Feng, Matthew Norton, Xiaolin Li:
Generalized Batch Normalization: Towards Accelerating Deep Neural Networks. CoRR abs/1812.03271 (2018)
2017
[i1]
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  - journals/corr/abs-1711-07511
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Matthew Norton, Akiko Takeda, Alexander Mafusalov:
Optimistic Robust Optimization With Applications To Machine Learning. CoRR abs/1711.07511 (2017)

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