Matthew Norton

Publication Activity (10 Years)

Years Active: 2017-2021
Publications (10 Years): 9

Top Topics

Engineering Design

Recurrent Neural Networks

Robust Optimization

Top Venues

J. Mach. Learn. Res.

Publications

Anirban Chaudhuri, Boris Kramer, Matthew Norton, Johannes O. Royset, Karen Willcox
Certifiable Risk-Based Engineering Design Optimization. CoRR (2021)
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)
Matthew Norton, Johannes O. Royset
Diametrical Risk Minimization: Theory and Computations. CoRR (2019)
Matthew Norton, Stan Uryasev
Maximization of AUC and Buffered AUC in binary classification. Math. Program. 174 (1-2) (2019)
Xiaoyong Yuan, Zheng Feng, Matthew Norton, Xiaolin Li
Generalized Batch Normalization: Towards Accelerating Deep Neural Networks. AAAI (2019)
Xiaoyong Yuan, Zheng Feng, Matthew Norton, Xiaolin Li
Generalized Batch Normalization: Towards Accelerating Deep Neural Networks. CoRR (2018)
Matthew Norton, Alexander Mafusalov, Stan Uryasev
Cardinality of Upper Average and Its Application to Network Optimization. SIAM J. Optim. 28 (2) (2018)
Matthew Norton, Alexander Mafusalov, Stan Uryasev
Soft Margin Support Vector Classification as Buffered Probability Minimization. J. Mach. Learn. Res. 18 (2017)
Matthew Norton, Akiko Takeda, Alexander Mafusalov
Optimistic Robust Optimization With Applications To Machine Learning. CoRR (2017)