activity
20152022
most citedNoisy, Greedy and Not So Greedy k-means++

5 citations · 5 across the 3 of their papers we have counts for

collaborators

9 papers

cs.DS2022

Faster Counting and Sampling Algorithms using Colorful Decision Oracle

Anup Bhattacharya, Arijit Bishnu, Arijit Ghosh +1

In this work, we consider -{\sc Hyperedge Estimation} and -{\sc Hyperedge Sample} problem in a hypergraph in the query…

cs.DS2020

Even the Easiest(?) Graph Coloring Problem is not Easy in Streaming!

Anup Bhattacharya, Arijit Bishnu, Gopinath Mishra +1

We study a graph coloring problem that is otherwise easy but becomes quite non-trivial in the one-pass streaming model. In contrast to previous graph coloring problems in streaming…

cs.CC2020

Disjointness through the Lens of Vapnik-Chervonenkis Dimension: Sparsity and Beyond

Anup Bhattacharya, Sourav Chakraborty, Arijit Ghosh +2

The disjointness problem - where Alice and Bob are given two subsets of and they have to check if their sets intersect - is a central problem in the world of comm…

cs.DS20195 cited

Noisy, Greedy and Not So Greedy k-means++

Anup Bhattacharya, Jan Eube, Heiko Röglin +1

The k-means++ algorithm due to Arthur and Vassilvitskii has become the most popular seeding method for Lloyd's algorithm. It samples the first center uniformly at random from the d…

cs.DS2019

Streaming PTAS for Binary -Low Rank Approximation

Anup Bhattacharya, Dishant Goyal, Ragesh Jaiswal +1

We give a 3-pass, polylog-space streaming PTAS for the constrained binary -means problem and a 4-pass, polylog-space streaming PTAS for the binary -low rank approximatio…

cs.DS2019

Hyperedge Estimation using Polylogarithmic Subset Queries

Anup Bhattacharya, Arijit Bishnu, Arijit Ghosh +1

In this work, we estimate the number of hyperedges in a hypergraph , where denotes the set of vertices and ${\cal F}({\cal…