activity
20132023
most citedBeating Greedy for Stochastic Bipartite Matching

16 citations · 40 across the 7 of their papers we have counts for

collaborators

11 papers

quant-ph2023★ 7 cited

Constructive plaquette compilation for the parity architecture

Roeland ter Hoeven, Benjamin E. Niehoff, Sagar Sudhir Kale +1

Parity compilation is the challenge of laying out the required constraints for the parity mapping in a local way. We present the first constructive compilation algorithm for the pa…

cs.DS2022

Online Min-Max Paging

Ashish Chiplunkar, Monika Henzinger, Sagar Sudhir Kale +1

Motivated by fairness requirements in communication networks, we introduce a natural variant of the online paging problem, called \textit{min-max} paging, where the objective is to…

cs.DS2020

Robust Algorithms under Adversarial Injections

Paritosh Garg, Sagar Kale, Lars Rohwedder +1

In this paper, we study streaming and online algorithms in the context of randomness in the input. For several problems, a random order of the input sequence---as opposed to the wo…

cs.DS2020

Fully-Dynamic Coresets

Monika Henzinger, Sagar Kale

With input sizes becoming massive, coresets -- small yet representative summary of the input -- are relevant more than ever. A weighted set that is a subset of the input is a…

cs.DS2020★ 2 cited

How to Solve Fair -Center in Massive Data Models

Ashish Chiplunkar, Sagar Kale, Sivaramakrishnan Natarajan Ramamoorthy

Fueled by massive data, important decision making is being automated with the help of algorithms, therefore, fairness in algorithms has become an especially important research topi…

cs.DS2019★ 16 cited

Beating Greedy for Stochastic Bipartite Matching

Buddhima Gamlath, Sagar Kale, Ola Svensson

We consider the maximum bipartite matching problem in stochastic settings, namely the query-commit and price-of-information models. In the query-commit model, an edge e independent…

cs.DS2018

Weighted Matchings via Unweighted Augmentations

Buddhima Gamlath, Sagar Kale, Slobodan Mitrović +1

We design a generic method for reducing the task of finding weighted matchings to that of finding short augmenting paths in unweighted graphs. This method enables us to provide eff…

cs.DS2018

Small Space Stream Summary for Matroid Center

Sagar Kale

In the matroid center problem, which generalizes the -center problem, we need to pick a set of centers that is an independent set of a matroid with rank . We study this probl…

cs.DS2017★ 14 cited

Maximum Matching in Two, Three, and a Few More Passes Over Graph Streams

Sagar Kale, Sumedh Tirodkar

We consider the maximum matching problem in the semi-streaming model formalized by Feigenbaum, Kannan, McGregor, Suri, and Zhang that is inspired by giant graphs of today. As our m…

cs.DS2013★ 1 cited

Submodular Maximization Meets Streaming: Matchings, Matroids, and More

Amit Chakrabarti, Sagar Kale

We study the problem of finding a maximum matching in a graph given by an input stream listing its edges in some arbitrary order, where the quantity to be maximized is given by a m…

cs.DS2013

Maximizing a Nonnegative, Monotone, Submodular Function Constrained to Matchings

Sagar Kale

Submodular functions have many applications. Matchings have many applications. The bitext word alignment problem can be modeled as the problem of maximizing a nonnegative, monotone…