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Rohit Vaish

25 papers hereh-index 151k citations38 works total

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

author position
  • middle author12
  • last author13

Across the 25 of 25 papers where every author was matched, so the position is known.

fields
  • cs.GT21
  • cs.DS2
  • cs.CY1
  • cs.HC1
same name
  • Rohit Vaish — 7 papers, h 2
  • Rohit Vaish — 3 papers, h 2
  • Rohit Vaish — 1 paper
  • Rohit Vaish — 1 paper, h 2

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
20162026
most citedEquitable Allocations of Indivisible Chores

12 citations · 45 across the 20 of their papers we have counts for

collaborators
Showing 2023Show all

4 papers · 1 filter

cs.GT2023★ 1 cited

Maximizing Nash Social Welfare under Two-Sided Preferences

Pallavi Jain, Rohit Vaish

The maximum Nash social welfare (NSW) -- which maximizes the geometric mean of agents' utilities -- is a fundamental solution concept with remarkable fairness and efficiency guaran…

cs.GT2023★ 1 cited

The Price of Equity with Binary Valuations and Few Agent Types

Umang Bhaskar, Neeldhara Misra, Aditi Sethia +1

In fair division problems, the notion of price of fairness measures the loss in welfare due to a fairness constraint. Prior work on the price of fairness has focused primarily on e…

cs.DS2023★ 1 cited

Tight Approximations for Graphical House Allocation

Hadi Hosseini, Andrew McGregor, Rik Sengupta +2

The Graphical House Allocation problem asks: how can n houses (each with a fixed non-negative value) be assigned to the vertices of an undirected graph G, so as to minimize the…

cs.GT2023

Graphical House Allocation

Hadi Hosseini, Justin Payan, Rik Sengupta +2

The classical house allocation problem involves assigning n houses (or items) to n agents according to their preferences. A key criterion in such problems is satisfying some fa…

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