Symbolic Algorithms for Qualitative Analysis of Markov Decision Processes with Büchi Objectives. - Krishnendu Chatterjee; Monika Henzinger; Manas Joglekar; Nisarg Shah 001 (CAV, 2011)

Average Case Analysis of the Classical Algorithm for Markov Decision Processes with Büchi Objectives. - Krishnendu Chatterjee; Manas Joglekar; Nisarg Shah 001 (FSTTCS, 2012)

Beyond dominant resource fairness: extensions, limitations, and indivisibilities. - David C. Parkes; Ariel D. Procaccia; Nisarg Shah 001 (EC, 2012)

A Maximum Likelihood Approach For Selecting Sets of Alternatives. - Ariel D. Procaccia; Sashank Jakkam Reddi; Nisarg Shah 001 (UAI, 2012)

Agent Failures in Totally Balanced Games and Convex Games. - Yoram Bachrach; Ian A. Kash; Nisarg Shah 001 (WINE, 2012)

Balanced group-labeled graphs. - Manas Joglekar; Nisarg Shah 001; Ajit A. Diwan (Discret. Math., 2012)

No agent left behind: dynamic fair division of multiple resources. - Ian A. Kash; Ariel D. Procaccia; Nisarg Shah 001 (AAMAS, 2013)

Defender (Mis)coordination in Security Games. - Albert Xin Jiang; Ariel D. Procaccia; Yundi Qian; Nisarg Shah 001; Milind Tambe (IJCAI, 2013)

Reliability Weighted Voting Games. - Yoram Bachrach; Nisarg Shah 001 (SAGT, 2013)

When do noisy votes reveal the truth? - Ioannis Caragiannis; Ariel D. Procaccia; Nisarg Shah 001 (EC, 2013)

Modal Ranking: A Uniquely Robust Voting Rule. - Ioannis Caragiannis; Ariel D. Procaccia; Nisarg Shah 001 (AAAI, 2014)

Betting Strategies, Market Selection, and the Wisdom of Crowds. - Willemien Kets; David M. Pennock; Rajiv Sethi; Nisarg Shah 001 (AAAI, 2014)

On the Structure of Synergies in Cooperative Games. - Ariel D. Procaccia; Nisarg Shah 001; Max Lee Tucker (AAAI, 2014)

Cooperative max games and agent failures. - Yoram Bachrach; Rahul Savani; Nisarg Shah 001 (AAMAS, 2014)

Diverse Randomized Agents Vote to Win. - Albert Xin Jiang; Leandro Soriano Marcolino; Ariel D. Procaccia; Tuomas Sandholm; Nisarg Shah 001; Milind Tambe (NIPS, 2014)

Neutrality and geometry of mean voting. - Sébastien Lahaie; Nisarg Shah 001 (EC, 2014)

Electing the Most Probable Without Eliminating the Irrational: Voting Over Intransitive Domains. - Edith Elkind; Nisarg Shah 001 (UAI, 2014)

Voting Rules As Error-Correcting Codes. - Ariel D. Procaccia; Nisarg Shah 001; Yair Zick (AAAI, 2015)

Ranked Voting on Social Networks. - Ariel D. Procaccia; Nisarg Shah 001; Eric Sodomka (IJCAI, 2015)

Is Approval Voting Optimal Given Approval Votes? - Ariel D. Procaccia; Nisarg Shah 001 (NIPS, 2015)

Leximin Allocations in the Real World. - David Kurokawa; Ariel D. Procaccia; Nisarg Shah 001 (EC, 2015)

Optimal Aggregation of Uncertain Preferences. - Ariel D. Procaccia; Nisarg Shah 001 (AAAI, 2016)

Truthful Univariate Estimators. - Ioannis Caragiannis; Ariel D. Procaccia; Nisarg Shah 001 (ICML, 2016)

Subset Selection via Implicit Utilitarian Voting. - Ioannis Caragiannis; Swaprava Nath; Ariel D. Procaccia; Nisarg Shah 001 (IJCAI, 2016)

False-Name-Proof Recommendations in Social Networks. - Markus Brill; Vincent Conitzer; Rupert Freeman; Nisarg Shah 001 (ISAIM, 2016)

The Unreasonable Fairness of Maximum Nash Welfare. - Ioannis Caragiannis; David Kurokawa; Hervé Moulin 001; Ariel D. Procaccia; Nisarg Shah 001; Junxing Wang (EC, 2016)

Preference Elicitation For Participatory Budgeting. - Gerdus Benade; Swaprava Nath; Ariel D. Procaccia; Nisarg Shah 001 (AAAI, 2017)

Optimal Social Decision Making. - Nisarg Shah 001 (AAMAS, 2017)

Peer Prediction with Heterogeneous Users. - Arpit Agarwal; Debmalya Mandal; David C. Parkes; Nisarg Shah 001 (EC, 2017)

Fair Public Decision Making. - Vincent Conitzer; Rupert Freeman; Nisarg Shah 001 (EC, 2017)

Making the world fairer. - Nisarg Shah 001 (XRDS, 2017)

Big City vs. the Great Outdoors: Voter Distribution and How It Affects Gerrymandering. - Allan Borodin; Omer Lev; Nisarg Shah 001; Tyrone Strangway (IJCAI, 2018)

Strategyproof Linear Regression in High Dimensions. - Yiling Chen 001; Chara Podimata; Ariel D. Procaccia; Nisarg Shah 001 (EC, 2018)

Fair Allocation of Indivisible Public Goods. - Brandon Fain; Kamesh Munagala; Nisarg Shah 001 (EC, 2018)

Strategyproof linear regression in high dimensions: an overview. - Yiling Chen 001; Chara Podimata; Ariel D. Procaccia; Nisarg Shah 001 (SIGecom Exch., 2018)

The Pure Price of Anarchy of Pool Block Withholding Attacks in Bitcoin Mining. - Colleen Alkalay-Houlihan; Nisarg Shah 001 (AAAI, 2019)

Primarily about Primaries. - Allan Borodin; Omer Lev; Nisarg Shah 001; Tyrone Strangway (AAAI, 2019)

Group Fairness for the Allocation of Indivisible Goods. - Vincent Conitzer; Rupert Freeman; Nisarg Shah 001; Jennifer Wortman Vaughan (AAAI, 2019)

Efficient and Thrifty Voting by Any Means Necessary. - Debmalya Mandal; Ariel D. Procaccia; Nisarg Shah 001; David P. Woodruff (NeurIPS, 2019)

Fair Division with Subsidy. - Daniel Halpern 002; Nisarg Shah 001 (SAGT, 2019)

The Surprising Power of Hiding Information in Facility Location. - Safwan Hossain; Evi Micha; Nisarg Shah 001 (AAAI, 2020)

Can We Predict the Election Outcome from Sampled Votes? - Evi Micha; Nisarg Shah 001 (AAAI, 2020)

The Effect of Strategic Noise in Linear Regression. - Safwan Hossain; Nisarg Shah 001 (AAMAS, 2020)

Resolving the Optimal Metric Distortion Conjecture. - Vasilis Gkatzelis; Daniel Halpern 002; Nisarg Shah 001 (FOCS, 2020)

Proportionally Fair Clustering Revisited. - Evi Micha; Nisarg Shah 001 (ICALP, 2020)

Best of Both Worlds: Ex-Ante and Ex-Post Fairness in Resource Allocation. - Rupert Freeman; Nisarg Shah 001; Rohit Vaish (EC, 2020)

Optimal Communication-Distortion Tradeoff in Voting. - Debmalya Mandal; Nisarg Shah 001; David P. Woodruff (EC, 2020)

Fair Division with Binary Valuations: One Rule to Rule Them All. - Daniel Halpern 002; Ariel D. Procaccia; Alexandros Psomas 001; Nisarg Shah 001 (WINE, 2020)

Optimal Bounds on the Price of Fairness for Indivisible Goods. - Siddharth Barman; Umang Bhaskar; Nisarg Shah 001 (WINE, 2020)

Designing Fairly Fair Classifiers Via Economic Fairness Notions. - Safwan Hossain; Andjela Mladenovic; Nisarg Shah 001 (WWW, 2020)

Participatory Budgeting: Models and Approaches. - Haris Aziz 001; Nisarg Shah 001 (CoRR, 2020)

Settling the Price of Fairness for Indivisible Goods. - Siddharth Barman; Umang Bhaskar; Nisarg Shah 001 (CoRR, 2020)

Learning Desirable Matchings From Partial Preferences. - Hadi Hosseini; Vijay Menon 001; Nisarg Shah 001; Sujoy Sikdar (CoRR, 2020)

Aggregating Binary Judgments Ranked by Accuracy. - Daniel Halpern 002; Gregory Kehne; Dominik Peters; Ariel D. Procaccia; Nisarg Shah 001; Piotr Skowron 001 (AAAI, 2021)

Necessarily Optimal One-Sided Matchings. - Hadi Hosseini; Vijay Menon 001; Nisarg Shah 001; Sujoy Sikdar (AAAI, 2021)

Market-Based Explanations of Collective Decisions. - Dominik Peters; Grzegorz Pierczynski; Nisarg Shah 001; Piotr Skowron 001 (AAAI, 2021)

Fair and Efficient Resource Allocation with Partial Information. - Daniel Halpern 002; Nisarg Shah 001 (IJCAI, 2021)

Distortion in Social Choice Problems: The First 15 Years and Beyond. - Elliot Anshelevich; Aris Filos-Ratsikas; Nisarg Shah 001; Alexandros A. Voudouris (IJCAI, 2021)

Two-Sided Matching Meets Fair Division. - Rupert Freeman; Evi Micha; Nisarg Shah 001 (IJCAI, 2021)

Surprisingly Popular Voting Recovers Rankings, Surprisingly! - Hadi Hosseini; Debmalya Mandal; Nisarg Shah 001; Kevin Shi (IJCAI, 2021)

Fair Algorithms for Multi-Agent Multi-Armed Bandits. - Safwan Hossain; Evi Micha; Nisarg Shah 001 (NeurIPS, 2021)

Distortion in social choice problems: an annotated reading list. - Elliot Anshelevich; Aris Filos-Ratsikas; Nisarg Shah 001; Alexandros A. Voudouris (SIGecom Exch., 2021)

The Metric Distortion of Multiwinner Voting. - Ioannis Caragiannis; Nisarg Shah 001; Alexandros A. Voudouris (AAAI, 2022)

A Little Charity Guarantees Fair Connected Graph Partitioning. - Ioannis Caragiannis; Evi Micha; Nisarg Shah 001 (AAAI, 2022)

Little House (Seat) on the Prairie: Compactness, Gerrymandering, and Population Distribution. - Allan Borodin; Omer Lev; Nisarg Shah 001; Tyrone Strangway (AAMAS, 2022)

How to Fairly Allocate Easy and Difficult Chores. - Soroush Ebadian; Dominik Peters; Nisarg Shah 001 (AAMAS, 2022)

Distortion in Voting with Top-t Preferences. - Allan Borodin; Daniel Halpern 002; Mohamad Latifian; Nisarg Shah 001 (IJCAI, 2022)

Efficient Resource Allocation with Secretive Agents. - Soroush Ebadian; Rupert Freeman; Nisarg Shah 001 (IJCAI, 2022)

Is Sortition Both Representative and Fair? - Soroush Ebadian; Gregory Kehne; Evi Micha; Ariel D. Procaccia; Nisarg Shah 001 (NeurIPS, 2022)

Optimized Distortion and Proportional Fairness in Voting. - Soroush Ebadian; Anson Kahng; Dominik Peters; Nisarg Shah 001 (EC, 2022)

Class Fairness in Online Matching. - Hadi Hosseini; Zhiyi Huang 002; Ayumi Igarashi 001; Nisarg Shah 001 (AAAI, 2023)

Voting with Preference Intensities. - Anson Kahng; Mohamad Latifian; Nisarg Shah 001 (AAAI, 2023)

Partitioning Friends Fairly. - Lily Li 004; Evi Micha; Aleksandar Nikolov; Nisarg Shah 001 (AAAI, 2023)

The Distortion of Approval Voting with Runoff. - Soroush Ebadian; Mohamad Latifian; Nisarg Shah 001 (AAMAS, 2023)

Pushing the Limits of Fairness in Algorithmic Decision-Making. - Nisarg Shah 001 (IJCAI, 2023)

Proportionally Fair Online Allocation of Public Goods with Predictions. - Siddhartha Banerjee; Vasilis Gkatzelis; Safwan Hossain; Billy Jin; Evi Micha; Nisarg Shah 001 (IJCAI, 2023)

Group Fairness in Peer Review. - Haris Aziz 001; Evi Micha; Nisarg Shah 001 (NeurIPS, 2023)

Explainable and Efficient Randomized Voting Rules. - Soroush Ebadian; Aris Filos-Ratsikas; Mohamad Latifian; Nisarg Shah 001 (NeurIPS, 2023)

Best of Both Distortion Worlds. - Vasilis Gkatzelis; Mohamad Latifian; Nisarg Shah 001 (EC, 2023)

Computational Aspects of Distortion. - Soroush Ebadian; Aris Filos-Ratsikas; Mohamad Latifian; Nisarg Shah 001 (AAMAS, 2024)

Harm Ratio: A Novel and Versatile Fairness Criterion. - Soroush Ebadian; Rupert Freeman; Nisarg Shah 001 (EAAMO, 2024)

What Is Best for Students, Numerical Scores or Letter Grades? - Evi Micha; Shreyas Sekar; Nisarg Shah 001 (IJCAI, 2024)

Proportional Fairness in Non-Centroid Clustering. - Ioannis Caragiannis; Evi Micha; Nisarg Shah 001 (NeurIPS, 2024)

Best of Both Worlds: Ex Ante and Ex Post Fairness in Resource Allocation. - Haris Aziz 001; Rupert Freeman; Nisarg Shah 001; Rohit Vaish (Oper. Res., 2024)

Fair Division with Market Values. - Siddharth Barman; Soroush Ebadian; Mohamad Latifian; Nisarg Shah 001 (AAAI, 2025)

The Distortion of Public-Spirited Participatory Budgeting. - Mark Bedaywi; Bailey Flanigan; Mohamad Latifian; Nisarg Shah 001 (AAAI, 2025)

Constrained Fair and Efficient Allocations. - Benjamin Cookson; Soroush Ebadian; Nisarg Shah 001 (AAAI, 2025)

Temporal Fair Division. - Benjamin Cookson; Soroush Ebadian; Nisarg Shah 001 (AAAI, 2025)

Every Bit Helps: Achieving the Optimal Distortion with a Few Queries. - Soroush Ebadian; Nisarg Shah 001 (AAAI, 2025)

Fairly Stable Two-Sided Matching with Indifferences. - Benjamin Cookson; Nisarg Shah 001 (EC, 2025)

Multi-Agent Risks from Advanced AI. - Lewis Hammond; Alan Chan; Jesse Clifton; Jason Hoelscher-Obermaier; Akbir Khan; Euan McLean; Chandler Smith; Wolfram Barfuss; Jakob N. Foerster; Tomas Gavenciak; The Anh Han; Edward Hughes 001; et al. (CoRR, 2025)