activity
20092026
most citedImproved Inapproximability Results for Maximum k-Colorable Subgraph

12 citations · 27 across the 12 of their papers we have counts for

collaborators

18 papers

cs.GT2026

Deterministic Stackelberg Strategies in Robotaxi Assignment Games

Ioannis Caragiannis, Kostas Kollias, Mohammad Roghani +2

In autonomous mobility duopolies, platforms compete for riders based on vehicle proximity. A critical operational challenge---faced by an incumbent proactively defending against a…

cs.DS2026

The Robotaxi Placement Problem: Minimizing Expected ETA for Stochastic Demand

Ioannis Caragiannis, Kostas Kollias, Mohammad Roghani +2

Autonomous ride-hailing platforms must strategically position idle robotaxis to minimize the wait times of prospective riders. We formalize this as the robotaxi placement problem (…

cs.LG2026

Efficient Online Conformal Selection with Limited Feedback

Sreenivas Gollapudi, Kostas Kollias, Kamesh Munagala +1

We address the problem of conformal selection, where an agent must select a low-cost subset of options to ensure that at least one "success" is identified at a pre-specified target…

cs.DS2025

Why is My Route Different Today? An Algorithm for Explaining Route Selection

Aaron Schild, Sreenivas Gollapudi, Anupam Gupta +2

Users of routing services like Apple Maps, Google Maps, and Waze frequently wonder why a given route is proposed. This question particularly arises when dynamic conditions like tra…

cs.DS2024

First Passage Percolation with Queried Hints

Kritkorn Karntikoon, Yiheng Shen, Sreenivas Gollapudi +3

Solving optimization problems leads to elegant and practical solutions in a wide variety of real-world applications. In many of those real-world applications, some of the informati…

cs.LG2023★ 7 cited

Exphormer: Sparse Transformers for Graphs

Hamed Shirzad, Ameya Velingker, Balaji Venkatachalam +2

Graph transformers have emerged as a promising architecture for a variety of graph learning and representation tasks. Despite their successes, though, it remains challenging to sca…