activity
20232026
collaborators

9 papers

cs.DS2026

Dynamic Contention Resolution Schemes

Moran Feldman, Gregory Kehne, Roie Levin +1

We introduce a low-recourse rounding paradigm for packing problems in fully dynamic settings, which we name Dynamic Contention Resolution Schemes (DCRSs). These are dynamic analogs…

cs.DS2026

Semi-Streaming Algorithms for Submodular Maximization under Random Arrival Order

Niv Buchbinder, Moran Feldman, Siyue Liu +1

We study random order semi-streaming algorithms for submodular maximization under a wide range of combinatorial constraint classes, including matroids, matroid -parity, -exch…

cs.DS2026

Online Steiner Forest with Recourse

Yaowei Long, Sepideh Mahabadi, Sherry Sarkar +1

In the online Steiner forest problem we are given a graph , and a sequence of terminal pairs which arrive in an online fashion. We are asked to maintain a low-cost s…

cs.DS2026

Improved Algorithms for Fair Matroid Submodular Maximization

Sepideh Mahabadi, Sherry Sarkar, Jakub Tarnawski

Submodular maximization subject to matroid constraints is a central problem with many applications in machine learning. As algorithms are increasingly used in decision-making over…

cs.DS2025

Sum-Of-Squares To Approximate Knapsack

Pravesh K. Kothari, Sherry Sarkar

These notes give a self-contained exposition of Karlin, Mathieu and Nguyen's tight estimate of the integrality gap of the sum-of-squares semidefinite program for solving the knapsa…

cs.DS2024

The Online Submodular Assignment Problem

Daniel Hathcock, Billy Jin, Kalen Patton +2

Online resource allocation is a rich and varied field. One of the most well-known problems in this area is online bipartite matching, introduced in 1990 by Karp, Vazirani, and Vazi…

cs.DS2024

The Secretary Problem with Predicted Additive Gap

Alexander Braun, Sherry Sarkar

The secretary problem is one of the fundamental problems in online decision making; a tight competitive ratio for this problem of has been known since…

cs.DS2024

The Online Submodular Assignment Problem

Daniel Hathcock, Billy Jin, Kalen Patton +2

Online resource allocation is a rich and varied field. One of the most well-known problems in this area is online bipartite matching, introduced in 1990 by Karp, Vazirani, and Vazi…

cs.DS2023

Maintaining Matroid Intersections Online

Niv Buchbinder, Anupam Gupta, Daniel Hathcock +2

Maintaining a maximum bipartite matching online while minimizing recourse/augmentations is a well studied problem, motivated by content delivery, job scheduling, and hashing. A bre…