Nisarg Shah
Economics and Econometrics · 2016–2018
A researcher in the Science corpus: 3 papers; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Economics and Econometrics — 14 citations into it
- Management Science and Operations Research — 14 citations into it
Whom Nisarg Shah trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Nisarg Shah's perspective
Ordered by how strongly the researchers Nisarg Shah trusts endorse each paper. Same corpus, a different order for every researcher.
- The Core of an N Person Game
- The Unreasonable Fairness of Maximum Nash Welfare (ACM Conference on Economics and Computation)
- A New Solution to the Random Assignment Problem (Journal of Economics Theory)
- The Core of the Participatory Budgeting Problem
- Convex Optimization: Algorithms and Complexity
- Dominant Resource Fairness: Fair Allocation of Multiple Resource Types (Symposium on Networked Systems Design and Implementation)
- Fair enough: guaranteeing approximate maximin shares (ACM Conference on Economics and Computation)
- Lindahl's Solution and the Core of an Economy with Public Goods
- Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup Fairness
- Fast approximation algorithms for fractional packing and covering problems
Their papers
- The Unreasonable Fairness of Maximum Nash Welfare (2016) — 697 citations
- Fair Allocation of Indivisible Public Goods (2018) — 134 citations
- Fair Public Decision Making (2016) — 200 citations