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ORCIDMatthew Norton 0001
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- affiliation: Target Corporation, Minneapolis, MN, USA
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2020 – today
- 2023
[j5]Matthew D. Norton, Johannes O. Royset:
Diametrical Risk Minimization: theory and computations. Mach. Learn. 112(8): 2933-2951 (2023)- 2021
- [j4]Matthew Norton, Valentyn Khokhlov
, Stan Uryasev:
Calculating CVaR and bPOE for common probability distributions with application to portfolio optimization and density estimation. Ann. Oper. Res. 299(1): 1281-1315 (2021) - [i4]Anirban Chaudhuri, Boris Kramer, Matthew Norton, Johannes O. Royset, Karen Willcox:
Certifiable Risk-Based Engineering Design Optimization. CoRR abs/2101.05129 (2021)
2010 – 2019
- 2019
- [j3]Matthew Norton, Stan Uryasev:
Maximization of AUC and Buffered AUC in binary classification. Math. Program. 174(1-2): 575-612 (2019) - [c2]Xiaoyong Yuan, Zheng Feng, Matthew Norton, Xiaolin Li:
Generalized Batch Normalization: Towards Accelerating Deep Neural Networks. AAAI 2019: 1682-1689 - [c1]Damian Oslebo, Keith A. Corzine, Todd R. Weatherford, Atif Maqsood, Matthew Norton:
DC Pulsed Load Transient Classification Using Long Short-Term Memory Recurrent Neural Networks. ICSPCS 2019: 1-6 - [i3]Matthew Norton, Johannes O. Royset:
Diametrical Risk Minimization: Theory and Computations. CoRR abs/1910.10844 (2019) - 2018
- [j2]Matthew Norton, Alexander Mafusalov, Stan Uryasev:
Cardinality of Upper Average and Its Application to Network Optimization. SIAM J. Optim. 28(2): 1726-1750 (2018) - [i2]Xiaoyong Yuan, Zheng Feng, Matthew Norton, Xiaolin Li:
Generalized Batch Normalization: Towards Accelerating Deep Neural Networks. CoRR abs/1812.03271 (2018) - 2017
- [j1]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) - [i1]Matthew Norton, Akiko Takeda, Alexander Mafusalov:
Optimistic Robust Optimization With Applications To Machine Learning. CoRR abs/1711.07511 (2017)
Coauthor Index
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