48 citations · 112 across the 14 of their papers we have counts for
5 papers · 1 filter
Distilling Black-Box Travel Mode Choice Model for Behavioral Interpretation
Xilei Zhao, Zhengze Zhou, Xiang Yan +1
Machine learning has proved to be very successful for making predictions in travel behavior modeling. However, most machine-learning models have complex model structures and offer…
Finding Mixed Strategy Nash Equilibrium for Continuous Games through Deep Learning
Zehao Dou, Xiang Yan, Dongge Wang +1
Nash equilibrium has long been a desired solution concept in multi-player games, especially for those on continuous strategy spaces, which have attracted a rapidly growing amount o…
A Polynomial Time Algorithm for Fair Resource Allocation in Resource Exchange
Xiang Yan, Wei Zhu
The rapid growth of wireless and mobile Internet has led to wide applications of exchanging resources over network, in which how to fairly allocate resources has become a critical…
Modeling Heterogeneity in Mode-Switching Behavior Under a Mobility-on-Demand Transit System: An Interpretable Machine Learning Approach
Xilei Zhao, Xiang Yan, Pascal Van Hentenryck
Recent years have witnessed an increased focus on interpretability and the use of machine learning to inform policy analysis and decision making. This paper applies machine learnin…
Cost-Effective Incentive Allocation via Structured Counterfactual Inference
Romain Lopez, Chenchen Li, Xiang Yan +4
We address a practical problem ubiquitous in modern marketing campaigns, in which a central agent tries to learn a policy for allocating strategic financial incentives to customers…