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M. Hajiaghayi

70 papers hereh-index 5711.5k citations359 works total

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

author position
  • first author12
  • middle author50
  • last author8

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

fields
  • cs.DS42
  • cs.GT18
  • cs.DC3
  • cs.AI1
  • cs.CC1
  • cs.CL1
same name
  • M. Hajiaghayi — 30 papers, h 9

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
20052026
most citedBeating 1-1/e for Ordered Prophets

61 citations · 206 across the 60 of their papers we have counts for

collaborators
Showing 2020Show all

4 papers · 1 filter

cs.GT2020

Almost Envy-freeness, Envy-rank, and Nash Social Welfare Matchings

Alireza Farhadi, MohammadTaghi Hajiaghayi, Mohamad Latifian +2

Envy-free up to one good (EF1) and envy-free up to any good (EFX) are two well-known extensions of envy-freeness for the case of indivisible items. It is shown that EF1 can always…

cs.DS2020

Approximating LCS in Linear Time: Beating the n​ Barrier

MohammadTaghi Hajiaghayi, Masoud Seddighin, Saeed Seddighin +1

Longest common subsequence (LCS) is one of the most fundamental problems in combinatorial optimization. Apart from theoretical importance, LCS has enormous applications in bioinfor…

cs.LG2020

Inverse Feature Learning: Feature learning based on Representation Learning of Error

Behzad Ghazanfari, Fatemeh Afghah, MohammadTaghi Hajiaghayi

This paper proposes inverse feature learning as a novel supervised feature learning technique that learns a set of high-level features for classification based on an error represen…

cs.DS2020★ 2 cited

Asymmetric Streaming Algorithms for Edit Distance and LCS

Alireza Farhadi, MohammadTaghi Hajiaghayi, Aviad Rubinstein +1

The edit distance (ED) and longest common subsequence (LCS) are two fundamental problems which quantify how similar two strings are to one another. In this paper, we consider these…

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