Nisarg Shah
Title
Cited by
Cited by
Year
The Unreasonable Fairness of Maximum Nash Welfare
I Caragiannis, D Kurokawa, H Moulin, AD Procaccia, N Shah, J Wang
ACM Transactions on Economics and Computation (TEAC) 7 (3), 1-32, 2019
2942019
Beyond dominant resource fairness: Extensions, limitations, and indivisibilities
DC Parkes, AD Procaccia, N Shah
ACM Transactions on Economics and Computation (TEAC) 3 (1), 1-22, 2015
2222015
No agent left behind: Dynamic fair division of multiple resources
I Kash, AD Procaccia, N Shah
Journal of Artificial Intelligence Research 51, 579-603, 2014
1592014
When do noisy votes reveal the truth?
I Caragiannis, AD Procaccia, N Shah
ACM Transactions on Economics and Computation (TEAC) 4 (3), 1-30, 2016
1402016
A Maximum Likelihood Approach For Selecting Sets of Alternatives
AD Procaccia, S Reddy, N Shah
Conference on Uncertainty in Artificial Intelligence, 695-704, 2012
802012
Preference Elicitation for Participatory Budgeting
G Benade, S Nath, AD Procaccia, N Shah
Management Science, 2020
792020
Fair Public Decision Making
V Conitzer, R Freeman, N Shah
Proceedings of the 18th ACM Conference on Electronic Commerce, 629-646, 2017
722017
Subset selection via implicit utilitarian voting
I Caragiannis, S Nath, AD Procaccia, N Shah
Journal of Artificial Intelligence Research 58, 123-152, 2017
692017
Fair Allocation of Indivisible Public Goods
B Fain, K Munagala, N Shah
Proceedings of the 2018 ACM Conference on Economics and Computation, 575-592, 2018
532018
Leximin Allocations in the Real World
D Kurokawa, AD Procaccia, N Shah
ACM Transactions on Economics and Computation (TEAC) 6 (3-4), 1-24, 2018
512018
Diverse randomized agents vote to win
A Jiang, L Soriano Marcolino, AD Procaccia, T Sandholm, N Shah, ...
Advances in Neural Information Processing Systems 27, 2573-2581, 2014
472014
Strategyproof Linear Regression in High Dimensions
Y Chen, C Podimata, AD Procaccia, N Shah
Proceedings of the 2018 ACM Conference on Economics and Computation, 9-26, 2018
422018
Modal ranking: A uniquely robust voting rule
I Caragiannis, AD Procaccia, N Shah
Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014
402014
Group Fairness for the Allocation of Indivisible Goods
V Conitzer, R Freeman, N Shah, JW Vaughan
Proceedings of the AAAI Conference on Artificial Intelligence 33, 1853-1860, 2019
33*2019
Peer Prediction with Heterogeneous Users
A Agarwal, D Mandal, DC Parkes, N Shah
ACM Transactions on Economics and Computation (TEAC) 8 (1), 1-34, 2020
322020
Voting rules as error-correcting codes
AD Procaccia, N Shah, Y Zick
Artificial Intelligence 231, 1-16, 2016
282016
Defender (mis) coordination in security games
AX Jiang, AD Procaccia, Y Qian, N Shah, M Tambe
Twenty-Third International Joint Conference on Artificial Intelligence, 2013
282013
Participatory Budgeting: Models and Approaches
H Aziz, N Shah
Pathways Between Social Science and Computational Social Science, 215-236, 2021
272021
Electing the Most Probable Without Eliminating the Irrational: Voting Over Intransitive Domains.
E Elkind, N Shah
UAI, 182-191, 2014
26*2014
Reliability Weighted Voting Games
Y Bachrach, N Shah
International Symposium on Algorithmic Game Theory (SAGT), 2013
262013
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Articles 1–20