Siong-Thye Goh

Orcid: 0000-0001-7563-0961

Affiliations:
  • Singapore Management University, Singapore
  • Massachusetts Institute of Technology (MIT), Operations Research Center, Cambridge, MA, USA
  • National University of Singapore, Department of Mathematics, Singapore


According to our database1, Siong-Thye Goh authored at least 11 papers between 2010 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2022
Techniques to enhance a QUBO solver for permutation-based combinatorial optimization.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

OFFICERS: Operational Framework for Intelligent Crime-and-Emergency Response Scheduling.
Proceedings of the Thirty-Second International Conference on Automated Planning and Scheduling, 2022

2021
QROSS: QUBO Relaxation Parameter Optimisation via Learning Solver Surrogates.
CoRR, 2021

QROSS: QUBO Relaxation Parameter optimisation via Learning Solver Surrogates.
Proceedings of the 41st IEEE International Conference on Distributed Computing Systems Workshops, 2021

2019
Learning Multi-Objective Rewards and User Utility Function in Contextual Bandits for Personalized Ranking.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2018
A Minimax Surrogate Loss Approach to Conditional Difference Estimation.
CoRR, 2018

2014
Box drawings for learning with imbalanced data.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

2011
Characterization of All Solutions for Undersampled Uncorrelated Linear Discriminant Analysis Problems.
SIAM J. Matrix Anal. Appl., 2011

Several Classes of Even-Variable Balanced Boolean Functions with Optimal Algebraic Immunity.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2011

2010
A New and Fast Orthogonal Linear Discriminant Analysis on Undersampled Problems.
SIAM J. Sci. Comput., 2010

A new and fast implementation for null space based linear discriminant analysis.
Pattern Recognit., 2010


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