Optimisation & Decision Science
This interdisciplinary field, from resource allocation to logistics, utilizes mathematical modeling and analytical methodologies for informed decision-making. It ensures efficient resource utilization, cost minimization, and goal achievement in various sectors.
A Representative Consumer Model in Data-driven Multiproduct Pricing Optimization
Z Yan, K Natarajan, CP Teo, C Cheng, Management Science, , , , Volume 68, Issue 8, Pages 5798-5827, https://pubsonline.informs.org/doi/pdf/10.1287/mnsc.2021.4182
An Augmented Lagrangian Method with Constraint Generation for Shape-constrained Convex Regression Problems
M. Lin, D. Sun, and K-C. Toh, Mathematical Programming Computation, 14(2), 223-270, https://link.springer.com/article/10.1007/s12532-021-00210-0
Cooperative Double-IRS Aided Proactive Eavesdropping," IEEE Transactions on Communications
Dynamic Pricing for Client Recruitment in Federated Learning
X. Wang, S. Zheng, L. Duan, IEEE/ACM Transactions on Networking, https://arxiv.org/abs/2203.03192
Optimal Transport-Based Distributionally Robust Optimization: Structural Properties and Iterative Schemes
Submodularity, Pairwise Independence and Correlation Gap
The Limit of the Marginal Distribution Model in Consumer Choice
The Random QUBO
Tight Probability Bounds with Pairwise Independence
To Save Mobile Crowdsourcing from Cheap-talk: A Game Theoretic Learning Approach
S. Hao and L. Duan, IEEE Transactions on Mobile Computing, https://arxiv.org/abs/2306.06791