activity
20172022
most citedOptimization under Uncertainty in the Era of Big Data and Deep Learning: When Machine Learning Meets Mathematical Programming

340 citations · 578 across the 5 of their papers we have counts for

collaborators
Showing 2017 · cs.LGShow all

1 paper · 2 filters

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…