Nisarg Shah

ORCID

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 91

Top Venues

CoRR

AAAI

IJCAI

Publications

Allan Borodin, Omer Lev, Nisarg Shah, Tyrone Strangway
Primarily about primaries. Artif. Intell. 329 (2024)
Evi Micha, Shreyas Sekar, Nisarg Shah
What is Best for Students, Numerical Scores or Letter Grades? CoRR (2024)
Soroush Ebadian, Anson Kahng, Dominik Peters, Nisarg Shah
Optimized Distortion and Proportional Fairness in Voting. ACM Trans. Economics and Comput. 12 (1) (2024)
Hadi Hosseini, Zhiyi Huang, Ayumi Igarashi, Nisarg Shah
Class fairness in online matching. Artif. Intell. 335 (2024)
Soroush Ebadian, Aris Filos-Ratsikas, Mohamad Latifian, Nisarg Shah
Computational Aspects of Distortion. AAMAS (2024)
Anson Kahng, Mohamad Latifian, Nisarg Shah
Voting with Preference Intensities. AAAI (2023)
Haris Aziz, Evi Micha, Nisarg Shah
Group Fairness in Peer Review. NeurIPS (2023)
Vasilis Gkatzelis, Mohamad Latifian, Nisarg Shah
Best of Both Distortion Worlds. CoRR (2023)
Soroush Ebadian, Mohamad Latifian, Nisarg Shah
The Distortion of Approval Voting with Runoff. AAMAS (2023)
Siddhartha Banerjee, Vasilis Gkatzelis, Safwan Hossain, Billy Jin, Evi Micha, Nisarg Shah
Proportionally Fair Online Allocation of Public Goods with Predictions. IJCAI (2023)
Hadi Hosseini, Zhiyi Huang, Ayumi Igarashi, Nisarg Shah
Class Fairness in Online Matching. AAAI (2023)
Soroush Ebadian, Aris Filos-Ratsikas, Mohamad Latifian, Nisarg Shah
Explainable and Efficient Randomized Voting Rules. NeurIPS (2023)
Lily Li, Evi Micha, Aleksandar Nikolov, Nisarg Shah
Partitioning Friends Fairly. AAAI (2023)
Nisarg Shah
Pushing the Limits of Fairness in Algorithmic Decision-Making. IJCAI (2023)
Vasilis Gkatzelis, Mohamad Latifian, Nisarg Shah
Best of Both Distortion Worlds. EC (2023)
Haris Aziz, Evi Micha, Nisarg Shah
Group Fairness in Peer Review. AAMAS (2023)
Soroush Ebadian, Anson Kahng, Dominik Peters, Nisarg Shah
Optimized Distortion and Proportional Fairness in Voting. EC (2022)
Soroush Ebadian, Dominik Peters, Nisarg Shah
How to Fairly Allocate Easy and Difficult Chores. AAMAS (2022)
Ioannis Caragiannis, Nisarg Shah, Alexandros A. Voudouris
The metric distortion of multiwinner voting. Artif. Intell. 313 (2022)
Ioannis Caragiannis, Nisarg Shah, Alexandros A. Voudouris
The Metric Distortion of Multiwinner Voting. AAAI (2022)
Ioannis Caragiannis, Nisarg Shah, Alexandros A. Voudouris
The Metric Distortion of Multiwinner Voting. CoRR (2022)
Soroush Ebadian, Gregory Kehne, Evi Micha, Ariel D. Procaccia, Nisarg Shah
Is Sortition Both Representative and Fair? NeurIPS (2022)
Allan Borodin, Omer Lev, Nisarg Shah, Tyrone Strangway
Little House (Seat) on the Prairie: Compactness, Gerrymandering, and Population Distribution. AAMAS (2022)
Ioannis Caragiannis, Evi Micha, Nisarg Shah
A Little Charity Guarantees Fair Connected Graph Partitioning. AAAI (2022)
Siddhartha Banerjee, Vasilis Gkatzelis, Safwan Hossain, Billy Jin, Evi Micha, Nisarg Shah
Proportionally Fair Online Allocation of Public Goods with Predictions. CoRR (2022)
Hadi Hosseini, Zhiyi Huang, Ayumi Igarashi, Nisarg Shah
Class Fairness in Online Matching. CoRR (2022)
Soroush Ebadian, Rupert Freeman, Nisarg Shah
Efficient Resource Allocation with Secretive Agents. IJCAI (2022)
Allan Borodin, Daniel Halpern, Mohamad Latifian, Nisarg Shah
Distortion in Voting with Top-t Preferences. IJCAI (2022)
Soroush Ebadian, Anson Kahng, Nisarg Shah, Dominik Peters
Optimized Distortion and Proportional Fairness in Voting. CoRR (2022)
Soroush Ebadian, Dominik Peters, Nisarg Shah
How to Fairly Allocate Easy and Difficult Chores. CoRR (2021)
Elliot Anshelevich, Aris Filos-Ratsikas, Nisarg Shah, Alexandros A. Voudouris
Distortion in Social Choice Problems: The First 15 Years and Beyond. CoRR (2021)
Hadi Hosseini, Debmalya Mandal, Nisarg Shah, Kevin Shi
Surprisingly Popular Voting Recovers Rankings, Surprisingly! CoRR (2021)
Safwan Hossain, Evi Micha, Nisarg Shah
Fair Algorithms for Multi-Agent Multi-Armed Bandits. NeurIPS (2021)
Daniel Halpern, Nisarg Shah
Fair and Efficient Resource Allocation with Partial Information. IJCAI (2021)
Rupert Freeman, Evi Micha, Nisarg Shah
Two-Sided Matching Meets Fair Division. IJCAI (2021)
Elliot Anshelevich, Aris Filos-Ratsikas, Nisarg Shah, Alexandros A. Voudouris
Distortion in Social Choice Problems: The First 15 Years and Beyond. IJCAI (2021)
Gerdus Benadè, Swaprava Nath, Ariel D. Procaccia, Nisarg Shah
Preference Elicitation for Participatory Budgeting. Manag. Sci. 67 (5) (2021)
Safwan Hossain, Nisarg Shah
The effect of strategic noise in linear regression. Auton. Agents Multi Agent Syst. 35 (2) (2021)
Elliot Anshelevich, Aris Filos-Ratsikas, Nisarg Shah, Alexandros A. Voudouris
Distortion in social choice problems: an annotated reading list. SIGecom Exch. 19 (1) (2021)
Rupert Freeman, Evi Micha, Nisarg Shah
Two-Sided Matching Meets Fair Division. CoRR (2021)
Hadi Hosseini, Vijay Menon, Nisarg Shah, Sujoy Sikdar
Necessarily Optimal One-Sided Matchings. AAAI (2021)
Daniel Halpern, Nisarg Shah
Fair and Efficient Resource Allocation with Partial Information. CoRR (2021)
Dominik Peters, Grzegorz Pierczynski, Nisarg Shah, Piotr Skowron
Market-Based Explanations of Collective Decisions. AAAI (2021)
Daniel Halpern, Gregory Kehne, Dominik Peters, Ariel D. Procaccia, Nisarg Shah, Piotr Skowron
Aggregating Binary Judgments Ranked by Accuracy. AAAI (2021)
Hadi Hosseini, Debmalya Mandal, Nisarg Shah, Kevin Shi
Surprisingly Popular Voting Recovers Rankings, Surprisingly! IJCAI (2021)
Daniel Halpern, Ariel D. Procaccia, Alexandros Psomas, Nisarg Shah
Fair Division with Binary Valuations: One Rule to Rule Them All. WINE (2020)
Siddharth Barman, Umang Bhaskar, Nisarg Shah
Optimal Bounds on the Price of Fairness for Indivisible Goods. WINE (2020)
Siddharth Barman, Umang Bhaskar, Nisarg Shah
Settling the Price of Fairness for Indivisible Goods. CoRR (2020)
Evi Micha, Nisarg Shah
Can We Predict the Election Outcome from Sampled Votes? AAAI (2020)
Vasilis Gkatzelis, Daniel Halpern, Nisarg Shah
Resolving the Optimal Metric Distortion Conjecture. CoRR (2020)
Rupert Freeman, Nisarg Shah, Rohit Vaish
Best of Both Worlds: Ex-Ante and Ex-Post Fairness in Resource Allocation. EC (2020)
Rupert Freeman, Nisarg Shah, Rohit Vaish
Best of Both Worlds: Ex-Ante and Ex-Post Fairness in Resource Allocation. CoRR (2020)
Evi Micha, Nisarg Shah
Proportionally Fair Clustering Revisited. ICALP (2020)
Haris Aziz, Nisarg Shah
Participatory Budgeting: Models and Approaches. CoRR (2020)
Daniel Halpern, Ariel D. Procaccia, Alexandros Psomas, Nisarg Shah
Fair Division with Binary Valuations: One Rule to Rule Them All. CoRR (2020)
Safwan Hossain, Nisarg Shah
The Effect of Strategic Noise in Linear Regression. CoRR (2020)
Safwan Hossain, Andjela Mladenovic, Nisarg Shah
Designing Fairly Fair Classifiers Via Economic Fairness Notions. WWW (2020)
Safwan Hossain, Evi Micha, Nisarg Shah
Fair Algorithms for Multi-Agent Multi-Armed Bandits. CoRR (2020)
Safwan Hossain, Evi Micha, Nisarg Shah
The Surprising Power of Hiding Information in Facility Location. AAAI (2020)
Vasilis Gkatzelis, Daniel Halpern, Nisarg Shah
Resolving the Optimal Metric Distortion Conjecture. FOCS (2020)
Arpit Agarwal, Debmalya Mandal, David C. Parkes, Nisarg Shah
Peer Prediction with Heterogeneous Users. ACM Trans. Economics and Comput. 8 (1) (2020)
Debmalya Mandal, Nisarg Shah, David P. Woodruff
Optimal Communication-Distortion Tradeoff in Voting. EC (2020)
Safwan Hossain, Nisarg Shah
The Effect of Strategic Noise in Linear Regression. AAMAS (2020)
Hadi Hosseini, Vijay Menon, Nisarg Shah, Sujoy Sikdar
Learning Desirable Matchings From Partial Preferences. CoRR (2020)
Vincent Conitzer, Rupert Freeman, Nisarg Shah, Jennifer Wortman Vaughan
Group Fairness for the Allocation of Indivisible Goods. AAAI (2019)
Debmalya Mandal, Ariel D. Procaccia, Nisarg Shah, David P. Woodruff
Efficient and Thrifty Voting by Any Means Necessary. NeurIPS (2019)
Allan Borodin, Omer Lev, Nisarg Shah, Tyrone Strangway
Primarily about Primaries. AAAI (2019)
Daniel Halpern, Nisarg Shah
Fair Division with Subsidy. SAGT (2019)
Colleen Alkalay-Houlihan, Nisarg Shah
The Pure Price of Anarchy of Pool Block Withholding Attacks in Bitcoin Mining. AAAI (2019)
Ioannis Caragiannis, David Kurokawa, Hervé Moulin, Ariel D. Procaccia, Nisarg Shah, Junxing Wang
The Unreasonable Fairness of Maximum Nash Welfare. ACM Trans. Economics and Comput. 7 (3) (2019)
Yiling Chen, Chara Podimata, Ariel D. Procaccia, Nisarg Shah
Strategyproof linear regression in high dimensions: an overview. SIGecom Exch. 17 (1) (2018)
David Kurokawa, Ariel D. Procaccia, Nisarg Shah
Leximin Allocations in the Real World. ACM Trans. Economics and Comput. 6 (3-4) (2018)
Allan Borodin, Omer Lev, Nisarg Shah, Tyrone Strangway
Big City vs. the Great Outdoors: Voter Distribution and How It Affects Gerrymandering. IJCAI (2018)
Yiling Chen, Chara Podimata, Ariel D. Procaccia, Nisarg Shah
Strategyproof Linear Regression in High Dimensions. CoRR (2018)
Brandon Fain, Kamesh Munagala, Nisarg Shah
Fair Allocation of Indivisible Public Goods. CoRR (2018)
Brandon Fain, Kamesh Munagala, Nisarg Shah
Fair Allocation of Indivisible Public Goods. EC (2018)
Yiling Chen, Chara Podimata, Ariel D. Procaccia, Nisarg Shah
Strategyproof Linear Regression in High Dimensions. EC (2018)
Ioannis Caragiannis, Swaprava Nath, Ariel D. Procaccia, Nisarg Shah
Subset Selection Via Implicit Utilitarian Voting. J. Artif. Intell. Res. 58 (2017)
Nisarg Shah
Optimal Social Decision Making. AAMAS (2017)
Arpit Agarwal, Debmalya Mandal, David C. Parkes, Nisarg Shah
Peer Prediction with Heterogeneous Users. EC (2017)
Nisarg Shah
Making the world fairer. XRDS 24 (1) (2017)
Gerdus Benade, Swaprava Nath, Ariel D. Procaccia, Nisarg Shah
Preference Elicitation For Participatory Budgeting. AAAI (2017)
Vincent Conitzer, Rupert Freeman, Nisarg Shah
Fair Public Decision Making. EC (2017)
Ioannis Caragiannis, David Kurokawa, Hervé Moulin, Ariel D. Procaccia, Nisarg Shah, Junxing Wang
The Unreasonable Fairness of Maximum Nash Welfare. EC (2016)
Ioannis Caragiannis, Ariel D. Procaccia, Nisarg Shah
When Do Noisy Votes Reveal the Truth? ACM Trans. Economics and Comput. 4 (3) (2016)
Ioannis Caragiannis, Ariel D. Procaccia, Nisarg Shah
Truthful Univariate Estimators. ICML (2016)
Markus Brill, Vincent Conitzer, Rupert Freeman, Nisarg Shah
False-Name-Proof Recommendations in Social Networks. ISAIM (2016)
Markus Brill, Vincent Conitzer, Rupert Freeman, Nisarg Shah
False-Name-Proof Recommendations in Social Networks. AAMAS (2016)
Ariel D. Procaccia, Nisarg Shah
Optimal Aggregation of Uncertain Preferences. AAAI (2016)
Ioannis Caragiannis, Swaprava Nath, Ariel D. Procaccia, Nisarg Shah
Subset Selection via Implicit Utilitarian Voting. IJCAI (2016)
Ariel D. Procaccia, Nisarg Shah, Yair Zick
Voting rules as error-correcting codes. Artif. Intell. 231 (2016)
Ariel D. Procaccia, Nisarg Shah
Is Approval Voting Optimal Given Approval Votes? NIPS (2015)
Krishnendu Chatterjee, Manas Joglekar, Nisarg Shah
Average case analysis of the classical algorithm for Markov decision processes with Büchi objectives. Theor. Comput. Sci. 573 (2015)
Ariel D. Procaccia, Nisarg Shah, Eric Sodomka
Ranked Voting on Social Networks. IJCAI (2015)
David C. Parkes, Ariel D. Procaccia, Nisarg Shah
Beyond Dominant Resource Fairness: Extensions, Limitations, and Indivisibilities. ACM Trans. Economics and Comput. 3 (1) (2015)
David Kurokawa, Ariel D. Procaccia, Nisarg Shah
Leximin Allocations in the Real World. EC (2015)
Ariel D. Procaccia, Nisarg Shah, Yair Zick
Voting Rules As Error-Correcting Codes. AAAI (2015)
Yoram Bachrach, Rahul Savani, Nisarg Shah
Cooperative max games and agent failures. AAMAS (2014)
Albert Xin Jiang, Leandro Soriano Marcolino, Ariel D. Procaccia, Tuomas Sandholm, Nisarg Shah, Milind Tambe
Diverse Randomized Agents Vote to Win. NIPS (2014)
Sébastien Lahaie, Nisarg Shah
Neutrality and geometry of mean voting. EC (2014)

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Publication Activity (10 Years)

Top Topics

Top Venues

Nisarg Shah