4 papers
Variable Selection for Comparing High-dimensional Time-Series Data
Kensuke Mitsuzawa, Margherita Grossi, Stefano Bortoli +1
Given a pair of multivariate time-series data of the same length and dimensions, an approach is proposed to select variables and time intervals where the two series are significant…
Antifragile perimeter control: Anticipating and gaining from disruptions with reinforcement learning
Linghang Sun, Michail A. Makridis, Alexander Genser +3
The optimal operation of transportation systems is often susceptible to unexpected disruptions. Many established control strategies reliant on mathematical models can struggle with…
The fragile nature of road transportation networks
Linghang Sun, Yifan Zhang, Cristian Axenie +3
Major cities worldwide experience problems with the performance of their road transportation networks, and the continuous increase in traffic demand presents a substantial challeng…
Variable Selection in Maximum Mean Discrepancy for Interpretable Distribution Comparison
Kensuke Mitsuzawa, Motonobu Kanagawa, Stefano Bortoli +2
We study two-sample variable selection: identifying variables that discriminate between the distributions of two sets of data vectors. Such variables help scientists understand the…