The Communication Complexity of Coalition Formation Among Autonomous Agents. - Ariel D. Procaccia; Jeffrey S. Rosenschein (EUMAS, 2005)

Learning to Identify Winning Coalitions in the PAC model. - Ariel D. Procaccia; Jeffrey S. Rosenschein (EUMAS, 2005)

Extensive-Form Argumentation Games. - Ariel D. Procaccia; Jeffrey S. Rosenschein (EUMAS, 2005)

The Distortion of Cardinal Preferences in Voting. - Ariel D. Procaccia; Jeffrey S. Rosenschein (CIA, 2006)

Voting in Cooperative Information Agent Scenarios: Use and Abuse. - Jeffrey S. Rosenschein; Ariel D. Procaccia (CIA, 2006)

Learning Voting Trees. - Ariel D. Procaccia; Aviv Zohar; Yoni Peleg; Jeffrey S. Rosenschein (AAAI, 2007)

Average-case tractability of manipulation in voting via the fraction of manipulators. - Ariel D. Procaccia; Jeffrey S. Rosenschein (AAMAS, 2007)

A computational characterization of multiagent games with fallacious rewards. - Ariel D. Procaccia; Jeffrey S. Rosenschein (AAMAS, 2007)

On the robustness of preference aggregation in noisy environments. - Ariel D. Procaccia; Jeffrey S. Rosenschein; Gal A. Kaminka (AAMAS, 2007)

Gossip-Based Aggregation of Trust in Decentralized Reputation Systems. - Ariel D. Procaccia; Yoram Bachrach; Jeffrey S. Rosenschein (IJCAI, 2007)

Multi-Winner Elections: Complexity of Manipulation, Control and Winner-Determination. - Ariel D. Procaccia; Jeffrey S. Rosenschein; Aviv Zohar (IJCAI, 2007)

Junta Distributions and the Average-Case Complexity of Manipulating Elections. - Ariel D. Procaccia; Jeffrey S. Rosenschein (J. Artif. Intell. Res., 2007)

Strategyproof Classification under Constant Hypotheses: A Tale of Two Functions. - Reshef Meir; Ariel D. Procaccia; Jeffrey S. Rosenschein (AAAI, 2008)

Approximating power indices. - Yoram Bachrach; Evangelos Markakis; Ariel D. Procaccia; Jeffrey S. Rosenschein; Amin Saberi (AAMAS (2), 2008)

A broader picture of the complexity of strategic behavior in multi-winner elections. - Reshef Meir; Ariel D. Procaccia; Jeffrey S. Rosenschein (AAMAS (2), 2008)

Automated design of scoring rules by learning from examples. - Ariel D. Procaccia; Aviv Zohar; Jeffrey S. Rosenschein (AAMAS (2), 2008)

Frequent Manipulability of Elections: The Case of Two Voters. - Shahar Dobzinski; Ariel D. Procaccia (WINE, 2008)

A note on the query complexity of the Condorcet winner problem. - Ariel D. Procaccia (Inf. Process. Lett., 2008)

Complexity of Strategic Behavior in Multi-Winner Elections. - Reshef Meir; Ariel D. Procaccia; Jeffrey S. Rosenschein; Aviv Zohar (J. Artif. Intell. Res., 2008)

On the complexity of achieving proportional representation. - Ariel D. Procaccia; Jeffrey S. Rosenschein; Aviv Zohar (Soc. Choice Welf., 2008)

Towards a theory of incentives in machine learning. - Ariel D. Procaccia (SIGecom Exch., 2008)

Computational voting theory : of the agents, by the agents, for the agents (עם תקציר בעברית, תכן ושער נוסף: תורת הבחירות החישובית.). - Ariel D. Procaccia (2008)

Nonmanipulable Selections from a Tournament. - Alon Altman; Ariel D. Procaccia; Moshe Tennenholtz (IJCAI, 2009)

Strategyproof Classification with Shared Inputs. - Reshef Meir; Ariel D. Procaccia; Jeffrey S. Rosenschein (IJCAI, 2009)

Thou Shalt Covet Thy Neighbor's Cake. - Ariel D. Procaccia (IJCAI, 2009)

Complexity of Unweighted Coalitional Manipulation under Some Common Voting Rules. - Lirong Xia; Michael Zuckerman; Ariel D. Procaccia; Vincent Conitzer; Jeffrey S. Rosenschein (IJCAI, 2009)

Gossip-based aggregation of trust in decentralized reputation systems. - Yoram Bachrach; Ariel Parnes; Ariel D. Procaccia; Jeffrey S. Rosenschein (Auton. Agents Multi Agent Syst., 2009)

The learnability of voting rules. - Ariel D. Procaccia; Aviv Zohar; Yoni Peleg; Jeffrey S. Rosenschein (Artif. Intell., 2009)

Algorithms for the coalitional manipulation problem. - Michael Zuckerman; Ariel D. Procaccia; Jeffrey S. Rosenschein (Artif. Intell., 2009)

Strategyproof Approximation Mechanisms for Location on Networks - Noga Alon; Michal Feldman; Ariel D. Procaccia; Moshe Tennenholtz (CoRR, 2009)

Can Approximation Circumvent Gibbard-Satterthwaite? - Ariel D. Procaccia (AAAI, 2010)

On the limits of dictatorial classification. - Reshef Meir; Ariel D. Procaccia; Jeffrey S. Rosenschein (AAMAS, 2010)

Would a 'cyber warrior' protect us: exploring trade-offs between attack and defense of information systems. - Tyler Moore 001; Allan Friedman; Ariel D. Procaccia (NSPW, 2010)

Mix and match. - Itai Ashlagi; Felix A. Fischer; Ian A. Kash; Ariel D. Procaccia (EC, 2010)

A scheduling approach to coalitional manipulation. - Lirong Xia; Vincent Conitzer; Ariel D. Procaccia (EC, 2010)

Approximating power indices: theoretical and empirical analysis. - Yoram Bachrach; Evangelos Markakis; Ezra Resnick; Ariel D. Procaccia; Jeffrey S. Rosenschein; Amin Saberi (Auton. Agents Multi Agent Syst., 2010)

AI's War on Manipulation: Are We Winning? - Piotr Faliszewski; Ariel D. Procaccia (AI Mag., 2010)

Walking in circles. - Noga Alon; Michal Feldman; Ariel D. Procaccia; Moshe Tennenholtz (Discret. Math., 2010)

Implementation by mediated equilibrium. - Bezalel Peleg; Ariel D. Procaccia (Int. J. Game Theory, 2010)

A note on competitive diffusion through social networks. - Noga Alon; Michal Feldman; Ariel D. Procaccia; Moshe Tennenholtz (Inf. Process. Lett., 2010)

Incentive compatible regression learning. - Ofer Dekel; Felix A. Fischer; Ariel D. Procaccia (J. Comput. Syst. Sci., 2010)

Strategyproof Approximation of the Minimax on Networks. - Noga Alon; Michal Feldman; Ariel D. Procaccia; Moshe Tennenholtz (Math. Oper. Res., 2010)

Optimal Envy-Free Cake Cutting. - Yuga J. Cohler; John K. Lai; David C. Parkes; Ariel D. Procaccia (AAAI, 2011)

Incentive design for adaptive agents. - Yiling Chen 001; Jerry Kung; David C. Parkes; Ariel D. Procaccia; Haoqi Zhang (AAMAS, 2011)

Towards More Expressive Cake Cutting. - Ioannis Caragiannis; John K. Lai; Ariel D. Procaccia (IJCAI, 2011)

Sum of us: strategyproof selection from the selectors. - Noga Alon; Felix A. Fischer; Ariel D. Procaccia; Moshe Tennenholtz (TARK, 2011)

Voting almost maximizes social welfare despite limited communication. - Ioannis Caragiannis; Ariel D. Procaccia (Artif. Intell., 2011)

Computational social choice: the first four centuries. - Ariel D. Procaccia (XRDS, 2011)

A new perspective on implementation by voting trees. - Felix A. Fischer; Ariel D. Procaccia; Alex Samorodnitsky (Random Struct. Algorithms, 2011)

A Dynamic Rationalization of Distance Rationalizability. - Craig Boutilier; Ariel D. Procaccia (AAAI, 2012)

On Maxsum Fair Cake Divisions. - Steven J. Brams; Michal Feldman; John K. Lai; Jamie Morgenstern; Ariel D. Procaccia (AAAI, 2012)

Dynamic Matching via Weighted Myopia with Application to Kidney Exchange. - John P. Dickerson; Ariel D. Procaccia; Tuomas Sandholm (AAAI, 2012)

Optimizing kidney exchange with transplant chains: theory and reality. - John P. Dickerson; Ariel D. Procaccia; Tuomas Sandholm (AAMAS, 2012)

TurkServer: Enabling Synchronous and Longitudinal Online Experiments. - Andrew Mao; Yiling Chen 001; Krzysztof Z. Gajos; David C. Parkes; Ariel D. Procaccia; Haoqi Zhang (HCOMP@AAAI, 2012)

Social Choice for Human Computation. - Andrew Mao; Ariel D. Procaccia; Yiling Chen 001 (HCOMP@AAAI, 2012)

Bayesian Vote Manipulation: Optimal Strategies and Impact on Welfare. - Tyler Lu; Pingzhong Tang; Ariel D. Procaccia; Craig Boutilier (UAI, 2012)

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

On the approximability of Dodgson and Young elections. - Ioannis Caragiannis; Jason A. Covey; Michal Feldman; Christopher M. Homan; Christos Kaklamanis; Nikos Karanikolas; Ariel D. Procaccia; Jeffrey S. Rosenschein (Artif. Intell., 2012)

Algorithms for strategyproof classification. - Reshef Meir; Ariel D. Procaccia; Jeffrey S. Rosenschein (Artif. Intell., 2012)

How Bad Is Selfish Voting? - Simina Brânzei; Ioannis Caragiannis; Jamie Morgenstern; Ariel D. Procaccia (AAAI, 2013)

How to Cut a Cake Before the Party Ends. - David Kurokawa; John K. Lai; Ariel D. Procaccia (AAAI, 2013)

Better Human Computation Through Principled Voting. - Andrew Mao; Ariel D. Procaccia; Yiling Chen 001 (AAAI, 2013)

Dynamic Social Choice with Evolving Preferences. - David C. Parkes; Ariel D. Procaccia (AAAI, 2013)

Monotonic Maximin: A Robust Stackelberg Solution against Boundedly Rational Followers. - Albert Xin Jiang; Thanh Hong Nguyen; Milind Tambe; Ariel D. Procaccia (GameSec, 2013)

Audit Games. - Jeremiah Blocki; Nicolas Christin; Anupam Datta; Ariel D. Procaccia; Arunesh Sinha (IJCAI, 2013)

Externalities in Cake Cutting. - Simina Brânzei; Ariel D. Procaccia; Jie Zhang 008 (IJCAI, 2013)

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

Optimizing password composition policies. - Jeremiah Blocki; Saranga Komanduri; Ariel D. Procaccia; Or Sheffet (EC, 2013)

Harnessing the power of two crossmatches. - Avrim Blum; Anupam Gupta 001; Ariel D. Procaccia; Ankit Sharma 001 (EC, 2013)

Cake cutting: not just child's play. - Ariel D. Procaccia (Commun. ACM, 2013)

Equilibria of Generalized Cut and Choose Protocols. - Simina Brânzei; Ioannis Caragiannis; David Kurokawa; Ariel D. Procaccia (CoRR, 2013)

Truth, justice, and cake cutting. - Yiling Chen 001; John K. Lai; David C. Parkes; Ariel D. Procaccia (Games Econ. Behav., 2013)

A Smooth Transition from Powerlessness to Absolute Power. - Elchanan Mossel; Ariel D. Procaccia; Miklós Z. Rácz (J. Artif. Intell. Res., 2013)

Editor's introduction. - Ariel D. Procaccia (SIGecom Exch., 2013)

Approximate Mechanism Design without Money. - Ariel D. Procaccia; Moshe Tennenholtz (ACM Trans. Economics and Comput., 2013)

Simultaneous Cake Cutting. - Eric Balkanski; Simina Brânzei; David Kurokawa; Ariel D. Procaccia (AAAI, 2014)

Lazy Defenders Are Almost Optimal against Diligent Attackers. - Avrim Blum; Nika Haghtalab; Ariel D. Procaccia (AAAI, 2014)

Biased Games. - Ioannis Caragiannis; David Kurokawa; Ariel D. Procaccia (AAAI, 2014)

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

The Computational Rise and Fall of Fairness. - John P. Dickerson; Jonathan R. Goldman; Jeremy Karp; Ariel D. Procaccia; Tuomas Sandholm (AAAI, 2014)

Envy-Free Division of Sellable Goods. - Jeremy Karp; Aleksandr M. Kazachkov; Ariel D. Procaccia (AAAI, 2014)

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

Price of fairness in kidney exchange. - John P. Dickerson; Ariel D. Procaccia; Tuomas Sandholm (AAMAS, 2014)

Learning Optimal Commitment to Overcome Insecurity. - Avrim Blum; Nika Haghtalab; Ariel D. Procaccia (NIPS, 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)

Fair enough: guaranteeing approximate maximin shares. - Ariel D. Procaccia; Junxing Wang (EC, 2014)

Ignorance is Almost Bliss: Near-Optimal Stochastic Matching With Few Queries. - Avrim Blum; Nika Haghtalab; Ariel D. Procaccia; Ankit Sharma 001 (CoRR, 2014)

No Agent Left Behind: Dynamic Fair Division of Multiple Resources. - Ian A. Kash; Ariel D. Procaccia; Nisarg Shah 001 (J. Artif. Intell. Res., 2014)

Spliddit: unleashing fair division algorithms. - Jonathan R. Goldman; Ariel D. Procaccia (SIGecom Exch., 2014)

Socially desirable approximations for dodgson's voting rule. - Ioannis Caragiannis; Christos Kaklamanis; Nikos Karanikolas; Ariel D. Procaccia (ACM Trans. Algorithms, 2014)

Audit Games with Multiple Defender Resources. - Jeremiah Blocki; Nicolas Christin; Anupam Datta; Ariel D. Procaccia; Arunesh Sinha (AAAI, 2015)

Dynamic Influence Maximization Under Increasing Returns to Scale. - Haifeng Zhang 001; Ariel D. Procaccia; Yevgeniy Vorobeychik (AAMAS, 2015)

Learning Cooperative Games. - Maria-Florina Balcan; Ariel D. Procaccia; Yair Zick (IJCAI, 2015)

Influence in Classification via Cooperative Game Theory. - Amit Datta; Anupam Datta; Ariel D. Procaccia; Yair Zick (IJCAI, 2015)

Impartial Peer Review. - David Kurokawa; Omer Lev; Jamie Morgenstern; Ariel D. Procaccia (IJCAI, 2015)

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

Verifiably Truthful Mechanisms. - Simina Brânzei; Ariel D. Procaccia (ITCS, 2015)

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

Commitment Without Regrets: Online Learning in Stackelberg Security Games. - Maria-Florina Balcan; Avrim Blum; Nika Haghtalab; Ariel D. Procaccia (EC, 2015)

Optimal social choice functions: A utilitarian view. - Craig Boutilier; Ioannis Caragiannis; Simi Haber; Tyler Lu; Ariel D. Procaccia; Or Sheffet (Artif. Intell., 2015)

Mix and match: A strategyproof mechanism for multi-hospital kidney exchange. - Itai Ashlagi; Felix A. Fischer; Ian A. Kash; Ariel D. Procaccia (Games Econ. Behav., 2015)

An improved 2-agent kidney exchange mechanism. - Ioannis Caragiannis; Aris Filos-Ratsikas; Ariel D. Procaccia (Theor. Comput. Sci., 2015)

Beyond Dominant Resource Fairness: Extensions, Limitations, and Indivisibilities. - David C. Parkes; Ariel D. Procaccia; Nisarg Shah 001 (ACM Trans. Economics and Comput., 2015)

An Algorithmic Framework for Strategic Fair Division. - Simina Brânzei; Ioannis Caragiannis; David Kurokawa; Ariel D. Procaccia (AAAI, 2016)

When Can the Maximin Share Guarantee Be Guaranteed? - David Kurokawa; Ariel D. Procaccia; Junxing Wang (AAAI, 2016)

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)

Three Strategies to Success: Learning Adversary Models in Security Games. - Nika Haghtalab; Fei Fang 001; Thanh Hong Nguyen; Arunesh Sinha; Ariel D. Procaccia; Milind Tambe (IJCAI, 2016)

Voting rules as error-correcting codes. - Ariel D. Procaccia; Nisarg Shah 001; Yair Zick (Artif. Intell., 2016)

Fair Division (Dagstuhl Seminar 16232). - Yonatan Aumann; Jérôme Lang; Ariel D. Procaccia (Dagstuhl Reports, 2016)

When Do Noisy Votes Reveal the Truth? - Ioannis Caragiannis; Ariel D. Procaccia; Nisarg Shah 001 (ACM Trans. Economics and Comput., 2016)

Introduction to Computational Social Choice. - Felix Brandt 001; Vincent Conitzer; Ulle Endriss; Jérôme Lang; Ariel D. Procaccia (Handbook of Computational Social Choice, 2016)

Cake Cutting Algorithms. - Ariel D. Procaccia (Handbook of Computational Social Choice, 2016)

Small Representations of Big Kidney Exchange Graphs. - John P. Dickerson; Aleksandr M. Kazachkov; Ariel D. Procaccia; Tuomas Sandholm (AAAI Workshops, 2017)

Multi-Channel Marketing with Budget Complementarities. - Haifeng Zhang 001; Yevgeniy Vorobeychik; Ariel D. Procaccia (AAMAS, 2017)

Game-Theoretic Modeling of Human Adaptation in Human-Robot Collaboration. - Stefanos Nikolaidis; Swaprava Nath; Ariel D. Procaccia; Siddhartha S. Srinivasa (HRI, 2017)

Which is the Fairest (Rent Division) of Them All? [Extended Abstract]. - Ya'akov (Kobi) Gal; Moshe Mash; Ariel D. Procaccia; Yair Zick (IJCAI, 2017)

Why You Should Charge Your Friends for Borrowing Your Stuff. - Kijung Shin; Euiwoong Lee; Dhivya Eswaran; Ariel D. Procaccia (IJCAI, 2017)

Collaborative PAC Learning. - Avrim Blum; Nika Haghtalab; Ariel D. Procaccia; Mingda Qiao (NIPS, 2017)

Making Right Decisions Based on Wrong Opinions. - Gerdus Benade; Anson Kahng; Ariel D. Procaccia (EC, 2017)

A Lower Bound for Equitable Cake Cutting. - Ariel D. Procaccia; Junxing Wang (EC, 2017)

Opting Into Optimal Matchings. - Avrim Blum; Ioannis Caragiannis; Nika Haghtalab; Ariel D. Procaccia; Eviatar B. Procaccia; Rohit Vaish (SODA, 2017)

A partisan districting protocol with provably nonpartisan outcomes. - Wesley Pegden; Ariel D. Procaccia; Dingli Yu (CoRR, 2017)

Subset Selection Via Implicit Utilitarian Voting. - Ioannis Caragiannis; Swaprava Nath; Ariel D. Procaccia; Nisarg Shah 001 (J. Artif. Intell. Res., 2017)

Monitoring stealthy diffusion. - Nika Haghtalab; Aron Laszka; Ariel D. Procaccia; Yevgeniy Vorobeychik; Xenofon D. Koutsoukos (Knowl. Inf. Syst., 2017)

Weighted Voting Via No-Regret Learning. - Nika Haghtalab; Ritesh Noothigattu; Ariel D. Procaccia (AAAI, 2018)

Ranking Wily People Who Rank Each Other. - Anson Kahng; Yasmine Kotturi; Chinmay Kulkarni 001; David Kurokawa; Ariel D. Procaccia (AAAI, 2018)

A Voting-Based System for Ethical Decision Making. - Ritesh Noothigattu; Snehalkumar (Neil) S. Gaikwad; Edmond Awad; Sohan Dsouza; Iyad Rahwan; Pradeep Ravikumar; Ariel D. Procaccia (AAAI, 2018)

Fair Rent Division on a Budget. - Ariel D. Procaccia; Rodrigo A. Velez; Dingli Yu (AAAI, 2018)

Approximation-Variance Tradeoffs in Facility Location Games. - Ariel D. Procaccia; David Wajc; Hanrui Zhang 001 (AAAI, 2018)

How to Make Envy Vanish Over Time. - Gerdus Benade; Aleksandr M. Kazachkov; Ariel D. Procaccia; Christos-Alexandros Psomas (EC, 2018)

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

Which is the fairest (rent division) of them all? - Kobi Gal; Ariel D. Procaccia; Moshe Mash; Yair Zick (Commun. ACM, 2018)

A Computational Approach to Organizational Structure. - Bernhard Haeupler; D. Ellis Hershkowitz; Anson Kahng; Ariel D. Procaccia (CoRR, 2018)

Choosing How to Choose Papers. - Ritesh Noothigattu; Nihar B. Shah; Ariel D. Procaccia (CoRR, 2018)

Fair Enough: Guaranteeing Approximate Maximin Shares. - David Kurokawa; Ariel D. Procaccia; Junxing Wang (J. ACM, 2018)

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

Leximin Allocations in the Real World. - David Kurokawa; Ariel D. Procaccia; Nisarg Shah 001 (ACM Trans. Economics and Comput., 2018)

Low-Distortion Social Welfare Functions. - Gerdus Benadè; Ariel D. Procaccia; Mingda Qiao (AAAI, 2019)

Migration as Submodular Optimization. - Paul Gölz; Ariel D. Procaccia (AAAI, 2019)

No Stratification Without Representation. - Gerdus Benadè; Paul Gölz; Ariel D. Procaccia (EC, 2019)

Statistical Foundations of Virtual Democracy. - Anson Kahng; Min Kyung Lee; Ritesh Noothigattu; Ariel D. Procaccia; Christos-Alexandros Psomas (ICML, 2019)

The Provable Virtue of Laziness in Motion Planning. - Nika Haghtalab; Simon Mackenzie; Ariel D. Procaccia; Oren Salzman; Siddhartha S. Srinivasa (IJCAI, 2019)

Achieving a Fairer Future by Changing the Past. - Jiafan He; Ariel D. Procaccia; Alexandros Psomas 001; David Zeng (IJCAI, 2019)

Envy-Free Classification. - Maria-Florina Balcan; Travis Dick; Ritesh Noothigattu; Ariel D. Procaccia (NeurIPS, 2019)

Paradoxes in Fair Machine Learning. - Paul Gölz; Anson Kahng; Ariel D. Procaccia (NeurIPS, 2019)

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

Learning and Planning in Feature Deception Games. - Zheyuan Ryan Shi; Ariel D. Procaccia; Kevin S. Chan; Sridhar Venkatesan; Noam Ben-Asher; Nandi O. Leslie; Charles A. Kamhoua; Fei Fang 001 (CoRR, 2019)

Failure-Aware Kidney Exchange. - John P. Dickerson; Ariel D. Procaccia; Tuomas Sandholm (Manag. Sci., 2019)

WeBuildAI: Participatory Framework for Algorithmic Governance. - Min Kyung Lee; Daniel Kusbit; Anson Kahng; Ji Tae Kim; Xinran Yuan; Allissa Chan; Daniel See; Ritesh Noothigattu; Siheon Lee; Alexandros Psomas 001; Ariel D. Procaccia (Proc. ACM Hum. Comput. Interact., 2019)

The Unreasonable Fairness of Maximum Nash Welfare. - Ioannis Caragiannis; David Kurokawa; Hervé Moulin 001; Ariel D. Procaccia; Nisarg Shah 001; Junxing Wang (ACM Trans. Economics and Comput., 2019)

Multiagent Evaluation Mechanisms. - Tal Alon; Magdalen Dobson; Ariel D. Procaccia; Inbal Talgam-Cohen; Jamie Tucker-Foltz (AAAI, 2020)

HirePeer: Impartial Peer-Assessed Hiring at Scale in Expert Crowdsourcing Markets. - Yasmine Kotturi; Anson Kahng; Ariel D. Procaccia; Chinmay Kulkarni 001 (AAAI, 2020)

Learning and Planning in the Feature Deception Problem. - Zheyuan Ryan Shi; Ariel D. Procaccia; Kevin S. Chan; Sridhar Venkatesan; Noam Ben-Asher; Nandi O. Leslie; Charles A. Kamhoua; Fei Fang 001 (GameSec, 2020)

Strategyproof Mean Estimation from Multiple-Choice Questions. - Anson Kahng; Gregory Kehne; Ariel D. Procaccia (ICML, 2020)

Computation-Aware Data Aggregation. - Bernhard Haeupler; D. Ellis Hershkowitz; Anson Kahng; Ariel D. Procaccia (ITCS, 2020)

Neutralizing Self-Selection Bias in Sampling for Sortition. - Bailey Flanigan; Paul Gölz; Anupam Gupta 001; Ariel D. Procaccia (NeurIPS, 2020)

Axioms for Learning from Pairwise Comparisons. - Ritesh Noothigattu; Dominik Peters; Ariel D. Procaccia (NeurIPS, 2020)

Explainable Voting. - Dominik Peters; Ariel D. Procaccia; Alexandros Psomas 001; Zixin Zhou (NeurIPS, 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)

An answer to fair division's most enigmatic question: technical perspective. - Ariel D. Procaccia (Commun. ACM, 2020)

The Goal-Gradient Hypothesis in Stack Overflow. - Nicholas Hoernle; Gregory Kehne; Ariel D. Procaccia; Kobi Gal (CoRR, 2020)

Ignorance Is Almost Bliss: Near-Optimal Stochastic Matching with Few Queries. - Avrim Blum; John P. Dickerson; Nika Haghtalab; Ariel D. Procaccia; Tuomas Sandholm; Ankit Sharma 001 (Oper. Res., 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)

District-Fair Participatory Budgeting. - D. Ellis Hershkowitz; Anson Kahng; Dominik Peters; Ariel D. Procaccia (AAAI, 2021)

Inverse Reinforcement Learning From Like-Minded Teachers. - Ritesh Noothigattu; Tom Yan; Ariel D. Procaccia (AAAI, 2021)

Preference Elicitation as Average-Case Sorting. - Dominik Peters; Ariel D. Procaccia (AAAI, 2021)

If You Like Shapley Then You'll Love the Core. - Tom Yan; Ariel D. Procaccia (AAAI, 2021)

Fair Sortition Made Transparent. - Bailey Flanigan; Gregory Kehne; Ariel D. Procaccia (NeurIPS, 2021)

In Defense of Fluid Democracy. - Daniel Halpern 002; Joseph Y. Halpern; Ali Jadbabaie; Elchanan Mossel; Ariel D. Procaccia; Manon Revel (CoRR, 2021)

Liquid Democracy: An Algorithmic Perspective. - Anson Kahng; Simon Mackenzie; Ariel D. Procaccia (J. Artif. Intell. Res., 2021)

Loss Functions, Axioms, and Peer Review. - Ritesh Noothigattu; Nihar B. Shah; Ariel D. Procaccia (J. Artif. Intell. Res., 2021)

Preference Elicitation for Participatory Budgeting. - Gerdus Benadè; Swaprava Nath; Ariel D. Procaccia; Nisarg Shah 001 (Manag. Sci., 2021)

Fair algorithms for selecting citizens' assemblies. - Bailey Flanigan; Paul Gölz; Anupam Gupta 001; Brett Hennig; Ariel D. Procaccia (Nat., 2021)

Belief polarization in a complex world: A learning theory perspective. - Nika Haghtalab; Matthew O. Jackson; Ariel D. Procaccia (Proc. Natl. Acad. Sci. USA, 2021)

Fairly Allocating Many Goods with Few Queries. - Hoon Oh; Ariel D. Procaccia; Warut Suksompong (SIAM J. Discret. Math., 2021)

The Fluid Mechanics of Liquid Democracy. - Paul Gölz; Anson Kahng; Simon Mackenzie; Ariel D. Procaccia (ACM Trans. Economics and Comput., 2021)

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

Recruitment Strategies That Take a Chance. - Gregory Kehne; Ariel D. Procaccia; Jingyan Wang 001 (NeurIPS, 2022)

Robust Rent Division. - Dominik Peters; Ariel D. Procaccia; David Zhu (NeurIPS, 2022)

Fair Allocations for Smoothed Utilities. - Yushi Bai; Uriel Feige; Paul Gölz; Ariel D. Procaccia (EC, 2022)

In This Apportionment Lottery, the House Always Wins. - Paul Gölz; Dominik Peters; Ariel D. Procaccia (EC, 2022)

Compact Redistricting Plans Have Many Spanning Trees. - Ariel D. Procaccia; Jamie Tucker-Foltz (SODA, 2022)

Welfare-Maximizing Pooled Testing. - Edwin Lock; Francisco J. Marmolejo Cossío; Evi Micha; Ariel D. Procaccia (CoRR, 2022)

The phantom steering effect in Q&A websites. - Nicholas Hoernle; Gregory Kehne; Ariel D. Procaccia; Kobi Gal (Knowl. Inf. Syst., 2022)

Representation with Incomplete Votes. - Daniel Halpern 002; Gregory Kehne; Ariel D. Procaccia; Jamie Tucker-Foltz; Manuel Wüthrich (AAAI, 2023)

Now We're Talking: Better Deliberation Groups through Submodular Optimization. - Jake Barrett; Kobi Gal; Paul Gölz; Rose M. Hong; Ariel D. Procaccia (AAAI, 2023)

Strategyproof Voting under Correlated Beliefs. - Daniel Halpern 002; Rachel Li; Ariel D. Procaccia (NeurIPS, 2023)

The Distortion of Binomial Voting Defies Expectation. - Yannai A. Gonczarowski; Gregory Kehne; Ariel D. Procaccia; Ben Schiffer; Shirley Zhang 001 (NeurIPS, 2023)

In Defense of Liquid Democracy. - Daniel Halpern 002; Joseph Y. Halpern; Ali Jadbabaie; Elchanan Mossel; Ariel D. Procaccia; Manon Revel (EC, 2023)

You Can Have Your Cake and Redistrict It Too. - Gerdus Benade; Ariel D. Procaccia; Jamie Tucker-Foltz (EC, 2023)

Distortion Under Public-Spirited Voting. - Bailey Flanigan; Ariel D. Procaccia; Sven Wang (EC, 2023)

Manipulation-Robust Selection of Citizens' Assemblies. - Bailey Flanigan; Jennifer Liang; Ariel D. Procaccia; Sven Wang (AAAI, 2024)

Learning Decision-Making Functions Given Cardinal and Ordinal Consensus Data. - Kanad Pardeshi; Itai Shapira; Ariel D. Procaccia; Aarti Singh (AAAI Spring Symposia, 2024)

Fair Federated Learning via the Proportional Veto Core. - Bhaskar Ray Chaudhury; Aniket Murhekar; Zhuowen Yuan; Bo Li 026; Ruta Mehta; Ariel D. Procaccia (ICML, 2024)

Policy Aggregation. - Parand A. Alamdari; Soroush Ebadian; Ariel D. Procaccia (NeurIPS, 2024)

Bias Detection via Signaling. - Yiling Chen 001; Tao Lin 013; Ariel D. Procaccia; Aaditya Ramdas; Itai Shapira (NeurIPS, 2024)

Axioms for AI Alignment from Human Feedback. - Luise Ge; Daniel Halpern 002; Evi Micha; Ariel D. Procaccia; Itai Shapira; Yevgeniy Vorobeychik; Junlin Wu 001 (NeurIPS, 2024)

Learning Social Welfare Functions. - Kanad Pardeshi; Itai Shapira; Ariel D. Procaccia; Aarti Singh (NeurIPS, 2024)

Honor Among Bandits: No-Regret Learning for Online Fair Division. - Ariel D. Procaccia; Ben Schiffer; Shirley Zhang 001 (NeurIPS, 2024)

Generative Social Choice. - Sara Fish; Paul Gölz; David C. Parkes; Ariel D. Procaccia; Gili Rusak; Itai Shapira; Manuel Wüthrich (EC, 2024)

School Redistricting: Wiping Unfairness Off the Map. - Ariel D. Procaccia; Isaac Robinson; Jamie Tucker-Foltz (SODA, 2024)

Optimal Engagement-Diversity Tradeoffs in Social Media. - Fabian Baumann; Daniel Halpern 002; Ariel D. Procaccia; Iyad Rahwan; Itai Shapira; Manuel Wüthrich (WWW, 2024)

How will advanced AI systems impact democracy? - Christopher Summerfield; Lisa Argyle; Michiel A. Bakker; Teddy Collins; Esin Durmus; Tyna Eloundou; Iason Gabriel; Deep Ganguli; Kobi Hackenburg; Gillian K. Hadfield; Luke Hewitt; Saffron Huang; et al. (CoRR, 2024)

Fair and Efficient Online Allocations. - Gerdus Benadè; Aleksandr M. Kazachkov; Ariel D. Procaccia; Christos-Alexandros Psomas; David Zeng (Oper. Res., 2024)

Welfare-Maximizing Pooled Testing. - Simon Finster; Michelle González Amador; Edwin Lock; Francisco J. Marmolejo Cossío; Evi Micha; Ariel D. Procaccia (SIGecom Exch., 2024)

Dynamic Placement in Refugee Resettlement. - Narges Ahani; Paul Gölz; Ariel D. Procaccia; Alexander Teytelboym; Andrew C. Trapp (Commun. ACM, 2024)

Federated Assemblies. - Daniel Halpern 002; Ariel D. Procaccia; Ehud Shapiro; Nimrod Talmon (AAAI, 2025)

Multi-Apartment Rent Division. - Ariel D. Procaccia; Benjamin Schiffer; Shirley Zhang 001 (AAAI, 2025)

Using collective dialogues and AI to find common ground between Israeli and Palestinian peacebuilders. - Andrew Konya; Luke Thorburn; Wasim Almasri; Oded Adomi Leshem; Ariel D. Procaccia; Lisa Schirch; Michiel A. Bakker (FAccT, 2025)

Strategic Classification With Externalities. - Safwan Hossain; Evi Micha; Yiling Chen 001; Ariel D. Procaccia (ICLR, 2025)

The Hidden Cost of Waiting for Accurate Predictions. - Ali Shirali; Ariel D. Procaccia; Rediet Abebe (ICLR, 2025)

Alternates, Assemble! Selecting Optimal Alternates for Citizens' Assemblies. - Angelos Assos; Carmel Baharav; Bailey Flanigan; Ariel D. Procaccia (EC, 2025)

Clone-Robust AI Alignment. - Ariel D. Procaccia; Benjamin Schiffer; Shirley Zhang 001 (CoRR, 2025)

Direct Alignment with Heterogeneous Preferences. - Ali Shirali; Arash Nasr-Esfahany; Abdullah Alomar; Parsa Mirtaheri; Rediet Abebe; Ariel D. Procaccia (CoRR, 2025)

The Proportional Veto Principle for Approval Ballots. - Daniel Halpern 002; Ariel D. Procaccia; Warut Suksompong (CoRR, 2025)

Generative Social Choice: The Next Generation. - Niclas Boehmer; Sara Fish; Ariel D. Procaccia (CoRR, 2025)

Pairwise Calibrated Rewards for Pluralistic Alignment. - Daniel Halpern 002; Evi Micha; Ariel D. Procaccia; Itai Shapira (CoRR, 2025)

Metritocracy: Representative Metrics for Lite Benchmarks. - Ariel D. Procaccia; Benjamin Schiffer; Serena Wang 002; Shirley Zhang 001 (CoRR, 2025)