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On Fair and Efficient Allocations of Indivisible Public Goods
Jugal Garg
, Pooja Kulkarni
, Aniket Murhekar
Industrial and Enterprise Systems Engineering
Siebel School of Computing and Data Science
Research output
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Keyphrases
Public Goods
100%
Efficient Allocation
100%
Fair Allocation
100%
Maximum Nash Welfare
100%
Private Goods
60%
Leximin
60%
Optimal Allocation
40%
Good Decision
40%
PROP1
40%
Public Decision-making
40%
Popular
20%
NP-hard
20%
Approximation Algorithms
20%
Polynomial-time Algorithm
20%
Budget Constraint
20%
Solution Concepts
20%
Cardinality
20%
N-factor
20%
Pareto Optimality
20%
Pseudo-polynomial Time Algorithm
20%
Additive Valuations
20%
Polynomial-time Reduction
20%
Public/private
20%
Fairness Guarantee
20%
Computer Science
polynomial-time algorithm
100%
Optimal Allocation
100%
Decision Making
100%
Approximation (Algorithm)
50%
Approximation Algorithms
50%
Polynomial Time
50%
Cardinality
50%
Budget Constraint
50%
Solution Concept
50%
Proportionality
50%
Pareto-optimality
50%
Desirable Property
50%
Pareto Optimality
50%
Mathematics
Polynomial Time
100%
Optimality
33%
Desirable Property
33%
Budget Constraint
33%
Cardinality
33%
Sharp Contrast
33%
Economics, Econometrics and Finance
Public Goods
100%
Allocative Efficiency
100%
Pareto Efficiency
20%