42 citations · 202 across the 21 of their papers we have counts for
22 papers
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…
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…
Fairness in Submodular Maximization over a Matroid Constraint
Marwa El Halabi, Jakub Tarnawski, Ashkan Norouzi-Fard +1
Submodular maximization over a matroid constraint is a fundamental problem with various applications in machine learning. Some of these applications involve decision-making over da…
Fairness in Streaming Submodular Maximization over a Matroid Constraint
Marwa El Halabi, Federico Fusco, Ashkan Norouzi-Fard +2
Streaming submodular maximization is a natural model for the task of selecting a representative subset from a large-scale dataset. If datapoints have sensitive attributes such as g…
Near-Optimal Correlation Clustering with Privacy
Vincent Cohen-Addad, Chenglin Fan, Silvio Lattanzi +4
Correlation clustering is a central problem in unsupervised learning, with applications spanning community detection, duplicate detection, automated labelling and many more. In the…
Harmony: Overcoming the Hurdles of GPU Memory Capacity to Train Massive DNN Models on Commodity Servers
Youjie Li, Amar Phanishayee, Derek Murray +2
Deep neural networks (DNNs) have grown exponentially in size over the past decade, leaving only those who have massive datacenter-based resources with the ability to develop and tr…
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…
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…
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…
Fairness in Streaming Submodular Maximization: Algorithms and Hardness
Marwa El Halabi, Slobodan Mitrović, Ashkan Norouzi-Fard +2
Submodular maximization has become established as the method of choice for the task of selecting representative and diverse summaries of data. However, if datapoints have sensitive…
Efficient Algorithms for Device Placement of DNN Graph Operators
Jakub Tarnawski, Amar Phanishayee, Nikhil R. Devanur +2
Modern machine learning workloads use large models, with complex structures, that are very expensive to execute. The devices that execute complex models are becoming increasingly h…
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…
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…
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,…
Beyond -Approximation for Submodular Maximization on Massive Data Streams
Ashkan Norouzi-Fard, Jakub Tarnawski, Slobodan Mitrović +3
Many tasks in machine learning and data mining, such as data diversification, non-parametric learning, kernel machines, clustering etc., require extracting a small but representati…
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…
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…
The Matching Problem in General Graphs is in Quasi-NC
Ola Svensson, Jakub Tarnawski
We show that the perfect matching problem in general graphs is in Quasi-NC. That is, we give a deterministic parallel algorithm which runs in time on $n^{O(\log^2 n)}…
Active Learning and Proofreading for Delineation of Curvilinear Structures
Agata Mosinska, Jakub Tarnawski, Pascal Fua
Many state-of-the-art delineation methods rely on supervised machine learning algorithms. As a result, they require manually annotated training data, which is tedious to obtain. Fu…
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…
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…
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…