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researcher

A. Mazumdar

71 papers hereh-index 252.6k citations138 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author6
  • first author17
  • middle author29
  • last author18

Across the 70 of 71 papers where every author was matched, so the position is known.

fields
  • cs.IT33
  • cs.LG12
  • stat.ML12
  • cs.DS4
  • cs.DB2
  • cs.DC2
same name
  • A. Mazumdar — 263 papers, h 60
  • A. Mazumdar — 33 papers, h 23
  • A. Mazumdar — 28 papers, h 8
  • A. Mazumdar — 19 papers, h 10
  • A. Mazumdar — 9 papers, h 7
  • A. Mazumdar — 2 papers, h 3

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20052023
most citedCodes in Permutations and Error Correction for Rank Modulation

184 citations · 779 across the 55 of their papers we have counts for

collaborators
Showing cs.DSShow all

4 papers · 1 filter

cs.DS2021

Random Subgraph Detection Using Queries

Wasim Huleihel, Arya Mazumdar, Soumyabrata Pal

The planted densest subgraph detection problem refers to the task of testing whether in a given (random) graph there is a subgraph that is unusually dense. Specifically, we observe…

cs.DS2019

Trace Reconstruction: Generalized and Parameterized

Akshay Krishnamurthy, Arya Mazumdar, Andrew McGregor +1

In the beautifully simple-to-state problem of trace reconstruction, the goal is to reconstruct an unknown binary string x given random "traces" of x where each trace is generat…

cs.DS2018

High Dimensional Discrete Integration over the Hypergrid

Raj Kumar Maity, Arya Mazumdar, Soumyabrata Pal

Recently Ermon et al. (2013) pioneered a way to practically compute approximations to large scale counting or discrete integration problems by using random hashes. The hashes are u…

cs.DS2016★ 19 cited

Clustering Via Crowdsourcing

Arya Mazumdar, Barna Saha

In recent years, crowdsourcing, aka human aided computation has emerged as an effective platform for solving problems that are considered complex for machines alone. Using human is…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.