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Nisarg Shah

Department of Computer Science

18 papers hereh-index 313.9k citations85 works total

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

author position
  • middle author4
  • last author14

Across the 18 of 18 papers where every author was matched, so the position is known.

fields
  • cs.GT16
  • cs.AI1
  • cs.LO1
affiliations
  • Department of Computer Science
Homepage
same name
  • Nisarg Shah — 8 papers, h 4
  • Nisarg Shah — 6 papers, h 8
  • Nisarg Shah — 5 papers, h 3
  • Nisarg Shah — 2 papers
  • Nisarg Shah — 1 paper

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
20112024
most citedA Maximum Likelihood Approach For Selecting Sets of Alternatives

35 citations · 79 across the 12 of their papers we have counts for

collaborators
Showing 2020Show all

4 papers · 1 filter

cs.GT2020

The Effect of Strategic Noise in Linear Regression

Safwan Hossain, Nisarg Shah

We build on an emerging line of work which studies strategic manipulations in training data provided to machine learning algorithms. Specifically, we focus on the ubiquitous task o…

cs.GT2020

Best of Both Worlds: Ex-Ante and Ex-Post Fairness in Resource Allocation

Rupert Freeman, Nisarg Shah, Rohit Vaish

We study the problem of allocating indivisible goods among agents with additive valuations. When randomization is allowed, it is possible to achieve compelling notions of fairness…

cs.GT2020

Resolving the Optimal Metric Distortion Conjecture

Vasilis Gkatzelis, Daniel Halpern, Nisarg Shah

We study the following metric distortion problem: there are two finite sets of points, V and C, that lie in the same metric space, and our goal is to choose a point in C whos…

cs.GT2020★ 2 cited

Participatory Budgeting: Models and Approaches

Haris Aziz, Nisarg Shah

Participatory budgeting is a democratic approach to deciding the funding of public projects, which has been adopted in many cities across the world. We present a survey of research…

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