1 citations · 2 across the 3 of their papers we have counts for
3 papers
eess.SY2020★ 1 cited
Modeling Route Choice with Real-Time Information: Comparing the Recursive and Non-Recursive Models
Xinlian Yu, Tien Mai, Jing Ding-Mastera +2
We study the routing policy choice problems in a stochastic time-dependent (STD) network. A routing policy is defined as a decision rule applied at the end of each link that maps t…
math.OC2019★ 1 cited
A learning-based algorithm to quickly compute good primal solutions for Stochastic Integer Programs
Yoshua Bengio, Emma Frejinger, Andrea Lodi +2
We propose a novel approach using supervised learning to obtain near-optimal primal solutions for two-stage stochastic integer programming (2SIP) problems with constraints in the f…
cs.LG2019
A language processing algorithm for predicting tactical solutions to an operational planning problem under uncertainty
Emma Frejinger, Eric Larsen
This paper is devoted to the prediction of solutions to a stochastic discrete optimization problem. Through an application, we illustrate how we can use a state-of-the-art neural m…