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20162026
most citedAllocation Problems in Ride-Sharing Platforms: Online Matching with Offline Reusable Resources

34 citations · 150 across the 33 of their papers we have counts for

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8 papers · 1 filter

cs.DS2021

Online minimum matching with uniform metric and random arrivals

Sharmila Duppala, Karthik A. Sankararaman, Pan Xu

We consider Online Minimum Bipartite Matching under the uniform metric. We show that Randomized Greedy achieves a competitive ratio equal to , which matches th…

cs.DS2020

Improved Approximation Algorithms for Stochastic-Matching Problems

Marek Adamczyk, Brian Brubach, Fabrizio Grandoni +3

We consider the Stochastic Matching problem, which is motivated by applications in kidney exchange and online dating. In this problem, we are given an undirected graph. Each edge i…

cs.DS2019

Mix and Match: Markov Chains & Mixing Times for Matching in Rideshare

Michael J. Curry, John P. Dickerson, Karthik Abinav Sankararaman +3

Rideshare platforms such as Uber and Lyft dynamically dispatch drivers to match riders' requests. We model the dispatching process in rideshare as a Markov chain that takes into ac…

cs.DS2018★ 4 cited

Balancing Relevance and Diversity in Online Bipartite Matching via Submodularity

John P. Dickerson, Karthik Abinav Sankararaman, Aravind Srinivasan +1

In bipartite matching problems, vertices on one side of a bipartite graph are paired with those on the other. In its online variant, one side of the graph is available offline, whi…

cs.DS2018

Adversarial Bandits with Knapsacks

Nicole Immorlica, Karthik Abinav Sankararaman, Robert Schapire +1

We consider Bandits with Knapsacks (henceforth, BwK), a general model for multi-armed bandits under supply/budget constraints. In particular, a bandit algorithm needs to solve a we…

cs.DS2018★ 3 cited

Attenuate Locally, Win Globally: An Attenuation-based Framework for Online Stochastic Matching with Timeouts

Brian Brubach, Karthik Abinav Sankararaman, Aravind Srinivasan +1

Online matching problems have garnered significant attention in recent years due to numerous applications in e-commerce, online advertisements, ride-sharing, etc. Many of them capt…

cs.DS2017★ 2 cited

Algorithms to Approximate Column-Sparse Packing Problems

Brian Brubach, Karthik Abinav Sankararaman, Aravind Srinivasan +1

Column-sparse packing problems arise in several contexts in both deterministic and stochastic discrete optimization. We present two unifying ideas, (non-uniform) attenuation and mu…

cs.DS2016★ 6 cited

Online Stochastic Matching: New Algorithms and Bounds

Brian Brubach, Karthik Abinav Sankararaman, Aravind Srinivasan +1

Online matching has received significant attention over the last 15 years due to its close connection to Internet advertising. As the seminal work of Karp, Vazirani, and Vazirani h…