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20152026
most citedBeyond -Approximation for Submodular Maximization on Massive Data Streams

42 citations · 202 across the 21 of their papers we have counts for

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13 papers · 1 filter

cs.DS2026

Weighted Equitability and Matroid-Constrained Discrepancy

Kristóf Bérczi, Siyue Liu, Victor Reis +1

We prove weighted matroid equitability. Let be a matroid whose ground set can be partitioned into bases, and assign a nonnegative weight to every element. T…

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.DS2021

Online Edge Coloring via Tree Recurrences and Correlation Decay

Janardhan Kulkarni, Yang P. Liu, Ashwin Sah +2

We give an online algorithm that with high probability computes a edge coloring on a graph with maximum degree under online…

cs.DS2021★ 3 cited

Correlation Clustering in Constant Many Parallel Rounds

Vincent Cohen-Addad, Silvio Lattanzi, Slobodan Mitrović +3

Correlation clustering is a central topic in unsupervised learning, with many applications in ML and data mining. In correlation clustering, one receives as input a signed graph an…

cs.DS2021

On the Hardness of Scheduling With Non-Uniform Communication Delays

Sami Davies, Janardhan Kulkarni, Thomas Rothvoss +3

In the scheduling with non-uniform communication delay problem, the input is a set of jobs with precedence constraints. Associated with every precedence constraint between a pair o…

cs.DS2020

Fully Dynamic Algorithm for Constrained Submodular Optimization

Silvio Lattanzi, Slobodan Mitrović, Ashkan Norouzi-Fard +2

The task of maximizing a monotone submodular function under a cardinality constraint is at the core of many machine learning and data mining applications, including data summarizat…

cs.DS2020★ 10 cited

Hierarchy-Based Algorithms for Minimizing Makespan under Precedence and Communication Constraints

Janardhan Kulkarni, Shi Li, Jakub Tarnawski +1

We consider the classic problem of scheduling jobs with precedence constraints on a set of identical machines to minimize the makespan objective function. Understanding the exact a…

cs.DS2020★ 2 cited

Scheduling with Communication Delays via LP Hierarchies and Clustering

Sami Davies, Janardhan Kulkarni, Thomas Rothvoss +2

We consider the classic problem of scheduling jobs with precedence constraints on identical machines to minimize makespan, in the presence of communication delays. In this setting,…

cs.DS2017★ 14 cited

Streaming Robust Submodular Maximization: A Partitioned Thresholding Approach

Slobodan Mitrović, Ilija Bogunovic, Ashkan Norouzi-Fard +2

We study the classical problem of maximizing a monotone submodular function subject to a cardinality constraint k, with two additional twists: (i) elements arrive in a streaming fa…

cs.DS2017

A Constant-Factor Approximation Algorithm for the Asymmetric Traveling Salesman Problem

Ola Svensson, Jakub Tarnawski, László A. Végh

We give a constant-factor approximation algorithm for the asymmetric traveling salesman problem (ATSP). Our approximation guarantee is analyzed with respect to the standard LP rela…

cs.DS2016★ 3 cited

Unrelated Machine Scheduling of Jobs with Uniform Smith Ratios

Christos Kalaitzis, Ola Svensson, Jakub Tarnawski

We consider the classic problem of scheduling jobs on unrelated machines so as to minimize the weighted sum of completion times. Recently, for a small constant , B…

cs.DS2015★ 1 cited

Constant Factor Approximation for ATSP with Two Edge Weights

Ola Svensson, Jakub Tarnawski, László A. Végh

We give a constant factor approximation algorithm for the Asymmetric Traveling Salesman Problem on shortest path metrics of directed graphs with two different edge weights. For the…

cs.DS2015★ 39 cited

Fast Generation of Random Spanning Trees and the Effective Resistance Metric

Aleksander Madry, Damian Straszak, Jakub Tarnawski

We present a new algorithm for generating a uniformly random spanning tree in an undirected graph. Our algorithm samples such a tree in expected time. This imp…