Nisarg Shah

Orcid: 0000-0002-0946-3402

Affiliations:
  • University of Toronto
  • Harvard University
  • Carnegie Mellon University


According to our database1, Nisarg Shah authored at least 79 papers between 2012 and 2024.

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Bibliography

2024
Optimized Distortion and Proportional Fairness in Voting.
ACM Trans. Economics and Comput., March, 2024

2023
Best of Both Distortion Worlds.
Proceedings of the 24th ACM Conference on Economics and Computation, 2023

Explainable and Efficient Randomized Voting Rules.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Group Fairness in Peer Review.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Proportionally Fair Online Allocation of Public Goods with Predictions.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Pushing the Limits of Fairness in Algorithmic Decision-Making.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

The Distortion of Approval Voting with Runoff.
Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

Partitioning Friends Fairly.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Voting with Preference Intensities.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Class Fairness in Online Matching.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
The metric distortion of multiwinner voting.
Artif. Intell., 2022

Is Sortition Both Representative and Fair?
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Efficient Resource Allocation with Secretive Agents.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Distortion in Voting with Top-t Preferences.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

How to Fairly Allocate Easy and Difficult Chores.
Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022

Little House (Seat) on the Prairie: Compactness, Gerrymandering, and Population Distribution.
Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022

A Little Charity Guarantees Fair Connected Graph Partitioning.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Distortion in social choice problems: an annotated reading list.
SIGecom Exch., 2021

Preference Elicitation for Participatory Budgeting.
Manag. Sci., 2021

The effect of strategic noise in linear regression.
Auton. Agents Multi Agent Syst., 2021

Fair Algorithms for Multi-Agent Multi-Armed Bandits.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Surprisingly Popular Voting Recovers Rankings, Surprisingly!
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Two-Sided Matching Meets Fair Division.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Distortion in Social Choice Problems: The First 15 Years and Beyond.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Fair and Efficient Resource Allocation with Partial Information.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Market-Based Explanations of Collective Decisions.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Necessarily Optimal One-Sided Matchings.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Aggregating Binary Judgments Ranked by Accuracy.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Peer Prediction with Heterogeneous Users.
ACM Trans. Economics and Comput., 2020

Learning Desirable Matchings From Partial Preferences.
CoRR, 2020

Settling the Price of Fairness for Indivisible Goods.
CoRR, 2020

Participatory Budgeting: Models and Approaches.
CoRR, 2020

Designing Fairly Fair Classifiers Via Economic Fairness Notions.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Optimal Bounds on the Price of Fairness for Indivisible Goods.
Proceedings of the Web and Internet Economics - 16th International Conference, 2020

Fair Division with Binary Valuations: One Rule to Rule Them All.
Proceedings of the Web and Internet Economics - 16th International Conference, 2020

Optimal Communication-Distortion Tradeoff in Voting.
Proceedings of the EC '20: The 21st ACM Conference on Economics and Computation, 2020

Best of Both Worlds: Ex-Ante and Ex-Post Fairness in Resource Allocation.
Proceedings of the EC '20: The 21st ACM Conference on Economics and Computation, 2020

Proportionally Fair Clustering Revisited.
Proceedings of the 47th International Colloquium on Automata, Languages, and Programming, 2020

Resolving the Optimal Metric Distortion Conjecture.
Proceedings of the 61st IEEE Annual Symposium on Foundations of Computer Science, 2020

Can We Predict the Election Outcome from Sampled Votes?
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

The Surprising Power of Hiding Information in Facility Location.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
The Unreasonable Fairness of Maximum Nash Welfare.
ACM Trans. Economics and Comput., 2019

Fair Division with Subsidy.
Proceedings of the Algorithmic Game Theory - 12th International Symposium, 2019

Efficient and Thrifty Voting by Any Means Necessary.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Group Fairness for the Allocation of Indivisible Goods.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Primarily about Primaries.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

The Pure Price of Anarchy of Pool Block Withholding Attacks in Bitcoin Mining.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Leximin Allocations in the Real World.
ACM Trans. Economics and Comput., 2018

Strategyproof linear regression in high dimensions: an overview.
SIGecom Exch., 2018

Fair Allocation of Indivisible Public Goods.
Proceedings of the 2018 ACM Conference on Economics and Computation, 2018

Strategyproof Linear Regression in High Dimensions.
Proceedings of the 2018 ACM Conference on Economics and Computation, 2018

Big City vs. the Great Outdoors: Voter Distribution and How It Affects Gerrymandering.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

2017
Subset Selection Via Implicit Utilitarian Voting.
J. Artif. Intell. Res., 2017

Making the world fairer.
XRDS, 2017

Fair Public Decision Making.
Proceedings of the 2017 ACM Conference on Economics and Computation, 2017

Optimal Social Decision Making.
Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems, 2017

2016
When Do Noisy Votes Reveal the Truth?
ACM Trans. Economics and Comput., 2016

Voting rules as error-correcting codes.
Artif. Intell., 2016

False-Name-Proof Recommendations in Social Networks.
Proceedings of the International Symposium on Artificial Intelligence and Mathematics, 2016

Truthful Univariate Estimators.
Proceedings of the 33nd International Conference on Machine Learning, 2016

Optimal Aggregation of Uncertain Preferences.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Beyond Dominant Resource Fairness: Extensions, Limitations, and Indivisibilities.
ACM Trans. Economics and Comput., 2015

Average case analysis of the classical algorithm for Markov decision processes with Büchi objectives.
Theor. Comput. Sci., 2015

Is Approval Voting Optimal Given Approval Votes?
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Ranked Voting on Social Networks.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

2014
No Agent Left Behind: Dynamic Fair Division of Multiple Resources.
J. Artif. Intell. Res., 2014

Electing the Most Probable Without Eliminating the Irrational: Voting Over Intransitive Domains.
Proceedings of the Thirtieth Conference on Uncertainty in Artificial Intelligence, 2014

Neutrality and geometry of mean voting.
Proceedings of the ACM Conference on Economics and Computation, 2014

Diverse Randomized Agents Vote to Win.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Cooperative max games and agent failures.
Proceedings of the International conference on Autonomous Agents and Multi-Agent Systems, 2014

On the Structure of Synergies in Cooperative Games.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

Betting Strategies, Market Selection, and the Wisdom of Crowds.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

Modal Ranking: A Uniquely Robust Voting Rule.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013
Symbolic algorithms for qualitative analysis of Markov decision processes with Büchi objectives.
Formal Methods Syst. Des., 2013

Reliability Weighted Voting Games.
Proceedings of the Algorithmic Game Theory - 6th International Symposium, 2013

Defender (Mis)coordination in Security Games.
Proceedings of the IJCAI 2013, 2013

2012
Balanced group-labeled graphs.
Discret. Math., 2012

Agent Failures in Totally Balanced Games and Convex Games.
Proceedings of the Internet and Network Economics - 8th International Workshop, 2012

A Maximum Likelihood Approach For Selecting Sets of Alternatives.
Proceedings of the Twenty-Eighth Conference on Uncertainty in Artificial Intelligence, 2012


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