340 citations · 1.6k across the 14 of their papers we have counts for
Showing 2017Show all
2 papers · 1 filter
cs.LG2017★ 134 cited
Data-Driven Stochastic Robust Optimization: A General Computational Framework and Algorithm for Optimization under Uncertainty in the Big Data Era
Chao Ning, Fengqi You
A novel data-driven stochastic robust optimization (DDSRO) framework is proposed for optimization under uncertainty leveraging labeled multi-class uncertainty data. Uncertainty dat…
math.OC2017★ 51 cited
A Projection-Based Reformulation and Decomposition Algorithm for Global Optimization of a Class of Mixed Integer Bilevel Linear Programs
Dajun Yue, Jiyao Gao, Bo Zeng +1
We propose an extended variant of the reformulation and decomposition algorithm for solving a special class of mixed-integer bilevel linear programs (MIBLPs) where continuous and i…