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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 2019Show all

4 papers · 1 filter

cs.GT2019★ 3 cited

Fair Division through Information Withholding

Hadi Hosseini, Sujoy Sikdar, Rohit Vaish +2

Envy-freeness up to one good (EF1) is a well-studied fairness notion for indivisible goods that addresses pairwise envy by the removal of at most one good. In the worst case, each…

cs.HC2019★ 2 cited

Minimizing Time-to-Rank: A Learning and Recommendation Approach

Haoming Li, Sujoy Sikdar, Rohit Vaish +3

Consider the following problem faced by an online voting platform: A user is provided with a list of alternatives, and is asked to rank them in order of preference using only drag-…

cs.GT2019★ 5 cited

Equitable Allocations of Indivisible Goods

Rupert Freeman, Sujoy Sikdar, Rohit Vaish +1

In fair division, equitability dictates that each participant receives the same level of utility. In this work, we study equitable allocations of indivisible goods among agents wit…

cs.GT2019

Stable Fractional Matchings

Ioannis Caragiannis, Aris Filos-Ratsikas, Panagiotis Kanellopoulos +1

We study a generalization of the classical stable matching problem that allows for cardinal preferences (as opposed to ordinal) and fractional matchings (as opposed to integral). A…

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