2 papers
eess.SY2024
Smart Predict-then-Optimize Method with Dependent Data: Risk Bounds and Calibration of Autoregression
Jixian Liu, Tao Xu, Jianping He +1
The predict-then-optimize (PTO) framework is indispensable for addressing practical stochastic decision-making tasks. It consists of two crucial steps: initially predicting unknown…
math.OC2023
Heuristic Learning for Co-Design Scheme of Optimal Sequential Attack
Xiaoyu Luo, Haoxuan Pan, Chongrong Fang +3
This paper considers a novel co-design problem of the optimal \textit{sequential} attack, whose attack strategy changes with the time series, and in which the \textit{sequential} a…