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Nisarg Shah
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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
4282019
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
2372015
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
1682014
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
1502016
Preference Elicitation for Participatory Budgeting
G Benade, S Nath, AD Procaccia, N Shah
Management Science 67 (5), 2813-2827, 2021
1042021
Fair Public Decision Making
V Conitzer, R Freeman, N Shah
Proceedings of the 18th ACM Conference on Electronic Commerce, 629-646, 2017
1012017
Subset selection via implicit utilitarian voting
I Caragiannis, S Nath, AD Procaccia, N Shah
Journal of Artificial Intelligence Research 58, 123-152, 2017
842017
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
822018
A Maximum Likelihood Approach For Selecting Sets of Alternatives
AD Procaccia, S Reddy, N Shah
Conference on Uncertainty in Artificial Intelligence, 695-704, 2012
822012
Participatory Budgeting: Models and Approaches
H Aziz, N Shah
Pathways Between Social Science and Computational Social Science, 215-236, 2021
692021
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
692018
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
542018
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
492020
Diverse randomized agents vote to win
A Jiang, L Soriano Marcolino, AD Procaccia, T Sandholm, N Shah, ...
Advances in Neural Information Processing Systems 27, 2014
492014
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
46*2019
Modal ranking: A uniquely robust voting rule
I Caragiannis, A Procaccia, N Shah
Proceedings of the AAAI Conference on Artificial Intelligence 28 (1), 2014
442014
NTIRE 2022 challenge on perceptual image quality assessment
J Gu, H Cai, C Dong, JS Ren, R Timofte, Y Gong, S Lao, S Shi, J Wang, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
432022
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
342013
Efficient and Thrifty Voting by Any Means Necessary
D Mandal, AD Procaccia, N Shah, D Woodruff
Advances in Neural Information Processing Systems, 7178-7189, 2019
332019
Truthful univariate estimators
I Caragiannis, A Procaccia, N Shah
International Conference on Machine Learning, 127-135, 2016
332016
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Articles 1–20