22 citations · 146 across the 47 of their papers we have counts for
3 papers · 1 filter
Learning for routing: A guided review of recent developments and future directions
Fangting Zhou, Attila Lischka, Balazs Kulcsar +3
This paper reviews the current progress in applying machine learning (ML) tools to solve NP-hard combinatorial optimization problems, with a focus on routing problems such as the t…
Trip Prediction by Leveraging Trip Histories from Neighboring Users
Yuxin Chen, Morteza Haghir Chehreghani
We propose a novel approach for trip prediction by analyzing user's trip histories. We augment users' (self-) trip histories by adding 'similar' trips from other users, which could…
Efficient Online Learning for Optimizing Value of Information: Theory and Application to Interactive Troubleshooting
Yuxin Chen, Jean-Michel Renders, Morteza Haghir Chehreghani +1
We consider the optimal value of information (VoI) problem, where the goal is to sequentially select a set of tests with a minimal cost, so that one can efficiently make the best d…