2 citations · 2 across the 3 of their papers we have counts for
5 papers
FairVizARD: A Visualization System for Assessing Multi-Party Fairness of Ride-Sharing Matching Algorithms
Ashwin Kumar, Sanket Shah, Meghna Lowalekar +3
There is growing interest in algorithms that match passengers with drivers in ride-sharing problems and their fairness for the different parties involved (passengers, drivers, and…
CLAIM: Curriculum Learning Policy for Influence Maximization in Unknown Social Networks
Dexun Li, Meghna Lowalekar, Pradeep Varakantham
Influence maximization is the problem of finding a small subset of nodes in a network that can maximize the diffusion of information. Recently, it has also found application in HIV…
Competitive Ratios for Online Multi-capacity Ridesharing
Meghna Lowalekar, Pradeep Varakantham, Patrick Jaillet
In multi-capacity ridesharing, multiple requests (e.g., customers, food items, parcels) with different origin and destination pairs travel in one resource. In recent years, online…
Zone pAth Construction (ZAC) based Approaches for Effective Real-Time Ridesharing
Meghna Lowalekar, Pradeep Varakantham, Patrick Jaillet
Real-time ridesharing systems such as UberPool, Lyft Line, GrabShare have become hugely popular as they reduce the costs for customers, improve per trip revenue for drivers and red…
Neural Approximate Dynamic Programming for On-Demand Ride-Pooling
Sanket Shah, Meghna Lowalekar, Pradeep Varakantham
On-demand ride-pooling (e.g., UberPool) has recently become popular because of its ability to lower costs for passengers while simultaneously increasing revenue for drivers and agg…