Matthew Norton

According to our database, Matthew Norton authored at least 10 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Error control and Neyman-Pearson classification with buffered probability and support vectors.

Matthew Norton, Liting Chiang, Stan Uryasev

Comput. Optim. Appl., December, 2025

2023

Diametrical Risk Minimization: theory and computations.

Matthew D. Norton, Johannes O. Royset

Mach. Learn., 2023

2021

Calculating CVaR and bPOE for common probability distributions with application to portfolio optimization and density estimation.

Matthew Norton, Valentyn Khokhlov, Stan Uryasev

Ann. Oper. Res., April, 2021

Certifiable Risk-Based Engineering Design Optimization.

Anirban Chaudhuri, Boris Kramer, Matthew Norton, Johannes O. Royset, Karen Willcox

CoRR, 2021

2019

Maximization of AUC and Buffered AUC in binary classification.

Matthew Norton, Stan Uryasev

Math. Program., 2019

DC Pulsed Load Transient Classification Using Long Short-Term Memory Recurrent Neural Networks.

Damian Oslebo, Keith A. Corzine, Todd R. Weatherford, Atif Maqsood, Matthew Norton

Proceedings of the 13th International Conference on Signal Processing and Communication Systems, 2019

Generalized Batch Normalization: Towards Accelerating Deep Neural Networks.

Xiaoyong Yuan, Zheng Feng, Matthew Norton, Xiaolin Li

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Cardinality of Upper Average and Its Application to Network Optimization.

Matthew Norton, Alexander Mafusalov, Stan Uryasev

SIAM J. Optim., 2018

2017

Soft Margin Support Vector Classification as Buffered Probability Minimization.

Matthew Norton, Alexander Mafusalov, Stan Uryasev

J. Mach. Learn. Res., 2017

Optimistic Robust Optimization With Applications To Machine Learning.

Matthew Norton, Akiko Takeda, Alexander Mafusalov

CoRR, 2017