3 citations · 4 across the 3 of their papers we have counts for
4 papers
The Optimal Sampler for Diverse TSP Solutions: Characterization, Limits, and Learning
Ssu-Yuan Lo, Ching-Kai Wang, Kuan-Lun Chen +1
We address the Diverse Traveling Salesman Problem (D-TSP) that seeks a set of distinct TSP tours. Each selected tour must not exceed a prescribed multiple of the optimal tour l…
Understanding Endogenous Data Drift in Adaptive Models with Recourse-Seeking Users
Bo-Yi Liu, Zhi-Xuan Liu, Kuan Lun Chen +3
Deep learning models are widely used in decision-making and recommendation systems, where they typically rely on the assumption of a static data distribution between training and d…
Accelerated Shapley Value Approximation for Data Evaluation
Lauren Watson, Zeno Kujawa, Rayna Andreeva +3
Data valuation has found various applications in machine learning, such as data filtering, efficient learning and incentives for data sharing. The most popular current approach to…
Approximation Algorithms for Multi-Robot Patrol-Scheduling with Min-Max Latency
Peyman Afshani, Mark De Berg, Kevin Buchin +7
We consider the problem of finding patrol schedules for robots to visit a given set of sites in a metric space. Each robot has the same maximum speed and the goal is to min…