Seuraa
Nisarg Shah
Nisarg Shah
Assistant Professor, University of Toronto
Vahvistettu sähköpostiosoite verkkotunnuksessa cs.toronto.edu - Kotisivu
Nimike
Viittaukset
Viittaukset
Vuosi
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
4522019
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
2452015
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
1732014
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
1532016
Fair Public Decision Making
V Conitzer, R Freeman, N Shah
Proceedings of the 18th ACM Conference on Electronic Commerce, 629-646, 2017
1112017
Preference Elicitation for Participatory Budgeting
G Benade, S Nath, AD Procaccia, N Shah
Management Science 67 (5), 2813-2827, 2021
1062021
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
892018
Subset selection via implicit utilitarian voting
I Caragiannis, S Nath, AD Procaccia, N Shah
Journal of Artificial Intelligence Research 58, 123-152, 2017
862017
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
772021
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
742018
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
552018
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
502022
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
502020
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
50*2019
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
Modal ranking: A uniquely robust voting rule
I Caragiannis, A Procaccia, N Shah
Proceedings of the AAAI Conference on Artificial Intelligence 28 (1), 2014
452014
Distortion in social choice problems: the first 15 years and beyond
E Anshelevich, A Filos-Ratsikas, N Shah, AA Voudouris
arXiv preprint arXiv:2103.00911, 2021
352021
Truthful univariate estimators
I Caragiannis, A Procaccia, N Shah
International Conference on Machine Learning, 127-135, 2016
352016
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
352013
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Artikkelit 1–20