3 papers
cs.LG2023
A Machine Learning Approach to Two-Stage Adaptive Robust Optimization
Dimitris Bertsimas, Cheol Woo Kim
We propose an approach based on machine learning to solve two-stage linear adaptive robust optimization (ARO) problems with binary here-and-now variables and polyhedral uncertainty…
cs.LG2023
Optimal Control of Multiclass Fluid Queueing Networks: A Machine Learning Approach
Dimitris Bertsimas, Cheol Woo Kim
We propose a machine learning approach to the optimal control of multiclass fluid queueing networks (MFQNETs) that provides explicit and insightful control policies. We prove that…
cs.LG2018
Local Stability and Performance of Simple Gradient Penalty mu-Wasserstein GAN
Cheolhyeong Kim, Seungtae Park, Hyung Ju Hwang
Wasserstein GAN(WGAN) is a model that minimizes the Wasserstein distance between a data distribution and sample distribution. Recent studies have proposed stabilizing the training…