Procaccia, Ariel D.

109 publications

ICML 2025 Clone-Robust AI Alignment Ariel D. Procaccia, Benjamin Schiffer, Shirley Zhang

NeurIPS 2025 Direct Alignment with Heterogeneous Preferences Ali Shirali, Arash Nasr-Esfahany, Abdullah Omar Alomar, Parsa Mirtaheri, Rediet Abebe, Ariel D. Procaccia

NeurIPS 2025 Does Representation Guarantee Welfare? Jakob de Raaij, Ariel D. Procaccia, Alexandros Psomas

AAAI 2025 Federated Assemblies Daniel Halpern, Ariel D. Procaccia, Ehud Shapiro, Nimrod Talmon

ICML 2025 Generative Social Choice: The Next Generation Niclas Boehmer, Sara Fish, Ariel D. Procaccia

NeurIPS 2025 Metritocracy: Representative Metrics for Lite Benchmarks Ariel D. Procaccia, Benjamin Schiffer, Serena Lutong Wang, Shirley Zhang

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

NeurIPS 2025 Pairwise Calibrated Rewards for Pluralistic Alignment Daniel Halpern, Evi Micha, Ariel D. Procaccia, Itai Shapira

ICLR 2025 Strategic Classification with Externalities Safwan Hossain, Evi Micha, Yiling Chen, Ariel D. Procaccia

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

IJCAI 2025 The Proportional Veto Principle for Approval Ballots Daniel Halpern, Ariel D. Procaccia, Warut Suksompong

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

NeurIPS 2024 Bias Detection via Signaling Yiling Chen, Tao Lin, Ariel D. Procaccia, Aaditya Ramdas, Itai Shapira

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

NeurIPS 2024 Honor Among Bandits: No-Regret Learning for Online Fair Division Ariel D. Procaccia, Benjamin Schiffer, Shirley Zhang

NeurIPS 2024 Learning Social Welfare Functions Kanad Shrikar Pardeshi, Itai Shapira, Ariel D. Procaccia, Aarti Singh

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

NeurIPS 2024 Policy Aggregation Parand A. Alamdari, Soroush Ebadian, Ariel D. Procaccia

NeurIPSW 2024 Policy Aggregation Parand A. Alamdari, Soroush Ebadian, Ariel D. Procaccia

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 Representation with Incomplete Votes Daniel Halpern, Gregory Kehne, Ariel D. Procaccia, Jamie Tucker-Foltz, Manuel Wüthrich

NeurIPS 2023 Strategyproof Voting Under Correlated Beliefs Daniel Halpern, 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

NeurIPS 2022 Is Sortition Both Representative and Fair? Soroush Ebadian, Gregory Kehne, Evi Micha, Ariel D Procaccia, Nisarg Shah

NeurIPS 2022 Recruitment Strategies That Take a Chance Gregory Kehne, Ariel D Procaccia, Jingyan Wang

NeurIPS 2022 Robust Rent Division Dominik Peters, Ariel D Procaccia, David Zhu

AAAI 2021 Aggregating Binary Judgments Ranked by Accuracy Daniel Halpern, Gregory Kehne, Dominik Peters, Ariel D. Procaccia, Nisarg Shah, Piotr Skowron

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

NeurIPS 2021 Fair Sortition Made Transparent Bailey Flanigan, Gregory Kehne, Ariel D Procaccia

AAAI 2021 If You like Shapley Then You'll Love the Core Tom Yan, Ariel D. Procaccia

AAAI 2021 Inverse Reinforcement Learning from Like-Minded Teachers Ritesh Noothigattu, Tom Yan, Ariel D. Procaccia

JAIR 2021 Liquid Democracy: An Algorithmic Perspective Anson Kahng, Simon Mackenzie, Ariel D. Procaccia

JAIR 2021 Loss Functions, Axioms, and Peer Review Ritesh Noothigattu, Nihar B. Shah, Ariel D. Procaccia

AAAI 2021 Preference Elicitation as Average-Case Sorting Dominik Peters, 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, Zixin Zhou

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

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

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

IJCAI 2019 Achieving a Fairer Future by Changing the past Jiafan He, Ariel D. Procaccia, Alexandros Psomas, David Zeng

NeurIPS 2019 Efficient and Thrifty Voting by Any Means Necessary Debmalya Mandal, Ariel D Procaccia, Nisarg Shah, David Woodruff

NeurIPS 2019 Envy-Free Classification Maria-Florina F Balcan, Travis Dick, Ritesh Noothigattu, Ariel D Procaccia

AAAI 2019 Fairly Allocating Many Goods with Few Queries Hoon Oh, Ariel D. Procaccia, Warut Suksompong

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

AAAI 2019 Migration as Submodular Optimization Paul Gölz, Ariel D. Procaccia

NeurIPS 2019 Paradoxes in Fair Machine Learning Paul Goelz, Anson Kahng, Ariel D Procaccia

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

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 Approximation-Variance Tradeoffs in Facility Location Games Ariel D. Procaccia, David Wajc, Hanrui Zhang

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

AAAI 2018 Liquid Democracy: An Algorithmic Perspective Anson Kahng, Simon Mackenzie, Ariel D. Procaccia

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

AAAI 2018 Weighted Voting via No-Regret Learning Nika Haghtalab, Ritesh Noothigattu, Ariel D. Procaccia

NeurIPS 2017 Collaborative PAC Learning Avrim Blum, Nika Haghtalab, Ariel D Procaccia, Mingda Qiao

AAAI 2017 Preference Elicitation for Participatory Budgeting Gerdus Benade, Swaprava Nath, Ariel D. Procaccia, Nisarg Shah

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

JAIR 2017 Subset Selection via Implicit Utilitarian Voting Ioannis Caragiannis, Swaprava Nath, Ariel D. Procaccia, Nisarg Shah

IJCAI 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

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

AAAI 2016 Optimal Aggregation of Uncertain Preferences Ariel D. Procaccia, Nisarg Shah

IJCAI 2016 Subset Selection via Implicit Utilitarian Voting Ioannis Caragiannis, Swaprava Nath, Ariel D. Procaccia, Nisarg Shah

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

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

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

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

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

NeurIPS 2015 Is Approval Voting Optimal Given Approval Votes? Ariel D Procaccia, Nisarg Shah

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

IJCAI 2015 Ranked Voting on Social Networks Ariel D. Procaccia, Nisarg Shah, Eric Sodomka

AAAI 2015 Voting Rules as Error-Correcting Codes Ariel D. Procaccia, Nisarg Shah, Yair Zick

AAAI 2014 Biased Games Ioannis Caragiannis, David Kurokawa, Ariel D. Procaccia

NeurIPS 2014 Diverse Randomized Agents Vote to Win Albert Jiang, Leandro Soriano Marcolino, Ariel D Procaccia, Tuomas Sandholm, Nisarg Shah, Milind Tambe

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

AAAI 2014 Lazy Defenders Are Almost Optimal Against Diligent Attackers Avrim Blum, Nika Haghtalab, Ariel D. Procaccia

NeurIPS 2014 Learning Optimal Commitment to Overcome Insecurity Avrim Blum, Nika Haghtalab, Ariel D Procaccia

AAAI 2014 Modal Ranking: A Uniquely Robust Voting Rule Ioannis Caragiannis, Ariel D. Procaccia, Nisarg Shah

JAIR 2014 No Agent Left Behind: Dynamic Fair Division of Multiple Resources Ian A. Kash, Ariel D. Procaccia, Nisarg Shah

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

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

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

JAIR 2013 A Smooth Transition from Powerlessness to Absolute Power Elchanan Mossel, Ariel D. Procaccia, Miklós Z. Rácz

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

AAAI 2013 Better Human Computation Through Principled Voting Andrew Mao, Ariel D. Procaccia, Yiling Chen

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

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

IJCAI 2013 Externalities in Cake Cutting Simina Brânzei, Ariel D. Procaccia, Jie Zhang

AAAI 2013 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 2012 A Dynamic Rationalization of Distance Rationalizability Craig Boutilier, Ariel D. Procaccia

UAI 2012 A Maximum Likelihood Approach for Selecting Sets of Alternatives Ariel D. Procaccia, Sashank Jakkam Reddi, Nisarg Shah

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

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

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

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

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

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

AAAI 2010 Truth, Justice, and Cake Cutting Yiling Chen, John K. Lai, David C. Parkes, Ariel D. Procaccia

AAAI 2010 Voting Almost Maximizes Social Welfare Despite Limited Communication Ioannis Caragiannis, 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 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

JAIR 2008 Complexity of Strategic Behavior in Multi-Winner Elections Reshef Meir, Ariel D. Procaccia, Jeffrey S. Rosenschein, Aviv Zohar

AAAI 2008 Strategyproof Classification Under Constant Hypotheses: A Tale of Two Functions Reshef Meir, Ariel D. Procaccia, Jeffrey S. Rosenschein

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

JAIR 2007 Junta Distributions and the Average-Case Complexity of Manipulating Elections Ariel D. Procaccia, Jeffrey S. Rosenschein

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

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