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ORCIDAriel D. Procaccia
Person information
- affiliation: Harvard University, Cambridge, USA
- affiliation (former): Carnegie Mellon University, Pittsburgh, USA
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2020 – today
- 2025
[c172]Daniel Halpern, Ariel D. Procaccia, Ehud Shapiro, Nimrod Talmon:
Federated Assemblies. AAAI 2025: 13897-13904- [c171]Ariel D. Procaccia, Benjamin Schiffer, Shirley Zhang:
Multi-Apartment Rent Division. AAAI 2025: 14054-14061 - [i59]Ariel D. Procaccia, Benjamin Schiffer, Shirley Zhang:
Clone-Robust AI Alignment. CoRR abs/2501.09254 (2025) - [i58]Andrew Konya, Luke Thorburn, Wasim Almasri, Oded Adomi Leshem, Ariel D. Procaccia, Lisa Schirch, Michiel A. Bakker:
Using Collective Dialogues and AI to Find Common Ground Between Israeli and Palestinian Peacebuilders. CoRR abs/2503.01769 (2025) - 2024
- [j61]Narges Ahani
, Paul Gölz, Ariel D. Procaccia, Alexander Teytelboym, Andrew C. Trapp:
Dynamic Placement in Refugee Resettlement. Commun. ACM 67(5): 99-106 (2024) - [j60]Narges Ahani, Paul Gölz, Ariel D. Procaccia, Alexander Teytelboym, Andrew C. Trapp:
Dynamic Placement in Refugee Resettlement. Oper. Res. 72(3): 1087-1104 (2024) - [j59]Gerdus Benadè, Aleksandr M. Kazachkov, Ariel D. Procaccia, Christos-Alexandros Psomas, David Zeng:
Fair and Efficient Online Allocations. Oper. Res. 72(4): 1438-1452 (2024) - [j58]Simon Finster, Michelle González Amador, Edwin Lock, Francisco J. Marmolejo Cossío, Evi Micha, Ariel D. Procaccia:
Welfare-Maximizing Pooled Testing. SIGecom Exch. 22(1): 66-73 (2024) - [c170]Bailey Flanigan, Jennifer Liang, Ariel D. Procaccia, Sven Wang:
Manipulation-Robust Selection of Citizens' Assemblies. AAAI 2024: 9696-9703 - [c169]Kanad Pardeshi, Itai Shapira, Ariel D. Procaccia, Aarti Singh:
Learning Decision-Making Functions Given Cardinal and Ordinal Consensus Data. AAAI Spring Symposia 2024: 572 - [c168]Bhaskar Ray Chaudhury, Aniket Murhekar, Zhuowen Yuan, Bo Li, Ruta Mehta, Ariel D. Procaccia:
Fair Federated Learning via the Proportional Veto Core. ICML 2024 - [c167]Parand A. Alamdari, Soroush Ebadian, Ariel D. Procaccia:
Policy Aggregation. NeurIPS 2024 - [c166]Yiling Chen, Tao Lin, Ariel D. Procaccia, Aaditya Ramdas, Itai Shapira:
Bias Detection via Signaling. NeurIPS 2024 - [c165]Luise Ge, Daniel Halpern, Evi Micha, Ariel D. Procaccia, Itai Shapira, Yevgeniy Vorobeychik, Junlin Wu:
Axioms for AI Alignment from Human Feedback. NeurIPS 2024 - [c164]Kanad Pardeshi, Itai Shapira, Ariel D. Procaccia, Aarti Singh:
Learning Social Welfare Functions. NeurIPS 2024 - [c163]Ariel D. Procaccia, Ben Schiffer, Shirley Zhang:
Honor Among Bandits: No-Regret Learning for Online Fair Division. NeurIPS 2024 - [c162]Sara Fish, Paul Gölz, David C. Parkes, Ariel D. Procaccia, Gili Rusak, Itai Shapira, Manuel Wüthrich:
Generative Social Choice. EC 2024: 985 - [c161]Ariel D. Procaccia, Isaac Robinson, Jamie Tucker-Foltz:
School Redistricting: Wiping Unfairness Off the Map. SODA 2024: 2704-2724 - [c160]Fabian Baumann, Daniel Halpern, Ariel D. Procaccia, Iyad Rahwan, Itai Shapira, Manuel Wüthrich:
Optimal Engagement-Diversity Tradeoffs in Social Media. WWW 2024: 288-299 - [i57]Ariel D. Procaccia, Ben Schiffer, Shirley Zhang:
Multi-Apartment Rent Division. CoRR abs/2403.08051 (2024) - [i56]Luise Ge, Daniel Halpern, Evi Micha, Ariel D. Procaccia, Itai Shapira, Yevgeniy Vorobeychik, Junlin Wu:
Axioms for AI Alignment from Human Feedback. CoRR abs/2405.14758 (2024) - [i55]Yiling Chen, Tao Lin, Ariel D. Procaccia, Aaditya Ramdas, Itai Shapira:
Bias Detection Via Signaling. CoRR abs/2405.17694 (2024) - [i54]Kanad Shrikar Pardeshi, Itai Shapira, Ariel D. Procaccia, Aarti Singh:
Learning Social Welfare Functions. CoRR abs/2405.17700 (2024) - [i53]Daniel Halpern, Ariel D. Procaccia, Ehud Shapiro, Nimrod Talmon:
Federated Assemblies. CoRR abs/2405.19129 (2024) - [i52]Ariel D. Procaccia, Benjamin Schiffer, Shirley Zhang:
Honor Among Bandits: No-Regret Learning for Online Fair Division. CoRR abs/2407.01795 (2024) - [i51]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, Hélène Landemore, Nahema Marchal, Aviv Ovadya, Ariel D. Procaccia, Mathias Risse, Bruce Schneier, Elizabeth Seger, Divya Siddarth, Henrik Skaug Sætra, MH Tessler, Matthew Botvinick:
How will advanced AI systems impact democracy? CoRR abs/2409.06729 (2024) - [i50]Yiling Chen, Safwan Hossain, Evi Micha, Ariel D. Procaccia:
Strategic Classification With Externalities. CoRR abs/2410.08032 (2024) - [i49]Parand A. Alamdari, Soroush Ebadian, Ariel D. Procaccia:
Policy Aggregation. CoRR abs/2411.03651 (2024) - 2023
- [c159]Jake Barrett, Kobi Gal, Paul Gölz, Rose M. Hong, Ariel D. Procaccia:
Now We're Talking: Better Deliberation Groups through Submodular Optimization. AAAI 2023: 5490-5498 - [c158]Daniel Halpern, Gregory Kehne, Ariel D. Procaccia, Jamie Tucker-Foltz, Manuel Wüthrich:
Representation with Incomplete Votes. AAAI 2023: 5657-5664 - [c157]Daniel Halpern, Rachel Li, Ariel D. Procaccia:
Strategyproof Voting under Correlated Beliefs. NeurIPS 2023 - [c156]Yannai A. Gonczarowski, Gregory Kehne, Ariel D. Procaccia, Ben Schiffer, Shirley Zhang:
The Distortion of Binomial Voting Defies Expectation. NeurIPS 2023 - [c155]Gerdus Benade, Ariel D. Procaccia, Jamie Tucker-Foltz:
You Can Have Your Cake and Redistrict It Too. EC 2023: 270 - [c154]Simon Finster, Michelle González Amador, Edwin Lock, Francisco J. Marmolejo Cossío, Evi Micha, Ariel D. Procaccia:
Welfare-Maximizing Pooled Testing. EC 2023: 699 - [c153]Bailey Flanigan, Ariel D. Procaccia, Sven Wang:
Distortion Under Public-Spirited Voting. EC 2023: 700 - [c152]Daniel Halpern, Joseph Y. Halpern, Ali Jadbabaie, Elchanan Mossel, Ariel D. Procaccia, Manon Revel:
In Defense of Liquid Democracy. EC 2023: 852 - [i48]Fabian Baumann, Daniel Halpern, Ariel D. Procaccia, Iyad Rahwan, Itai Shapira, Manuel Wuthrich:
Optimal Engagement-Diversity Tradeoffs in Social Media. CoRR abs/2303.03549 (2023) - [i47]Bailey Flanigan, Ariel D. Procaccia, Sven Wang:
Distortion Under Public-Spirited Voting. CoRR abs/2305.11736 (2023) - [i46]Gerdus Benadè, Ariel D. Procaccia, Jamie Tucker-Foltz:
You Can Have Your Cake and Redistrict It Too. CoRR abs/2305.12079 (2023) - [i45]Yannai A. Gonczarowski, Gregory Kehne, Ariel D. Procaccia, Ben Schiffer, Shirley Zhang:
The Distortion of Binomial Voting Defies Expectation. CoRR abs/2306.15657 (2023) - [i44]Sara Fish, Paul Gölz, David C. Parkes, Ariel D. Procaccia, Gili Rusak, Itai Shapira, Manuel Wüthrich:
Generative Social Choice. CoRR abs/2309.01291 (2023) - 2022
- [j57]Nicholas Hoernle, Gregory Kehne, Ariel D. Procaccia, Kobi Gal:
The phantom steering effect in Q&A websites. Knowl. Inf. Syst. 64(2): 475-506 (2022) - [c151]Soroush Ebadian, Gregory Kehne, Evi Micha, Ariel D. Procaccia, Nisarg Shah:
Is Sortition Both Representative and Fair? NeurIPS 2022 - [c150]Gregory Kehne, Ariel D. Procaccia, Jingyan Wang:
Recruitment Strategies That Take a Chance. NeurIPS 2022 - [c149]Dominik Peters, Ariel D. Procaccia, David Zhu:
Robust Rent Division. NeurIPS 2022 - [c148]Yushi Bai, Uriel Feige, Paul Gölz, Ariel D. Procaccia:
Fair Allocations for Smoothed Utilities. EC 2022: 436-465 - [c147]Paul Gölz, Dominik Peters, Ariel D. Procaccia:
In This Apportionment Lottery, the House Always Wins. EC 2022: 562 - [c146]Ariel D. Procaccia, Jamie Tucker-Foltz:
Compact Redistricting Plans Have Many Spanning Trees. SODA 2022: 3754-3771 - [i43]Paul Gölz, Dominik Peters, Ariel D. Procaccia:
In This Apportionment Lottery, the House Always Wins. CoRR abs/2202.11061 (2022) - [i42]Edwin Lock, Francisco J. Marmolejo Cossío, Evi Micha, Ariel D. Procaccia:
Welfare-Maximizing Pooled Testing. CoRR abs/2206.10660 (2022) - [i41]Daniel Halpern, Gregory Kehne, Ariel D. Procaccia, Jamie Tucker-Foltz, Manuel Wüthrich:
Representation with Incomplete Votes. CoRR abs/2211.15608 (2022) - 2021
- [j56]Anson Kahng, Simon Mackenzie, Ariel D. Procaccia:
Liquid Democracy: An Algorithmic Perspective. J. Artif. Intell. Res. 70: 1223-1252 (2021) - [j55]Ritesh Noothigattu, Nihar B. Shah, Ariel D. Procaccia:
Loss Functions, Axioms, and Peer Review. J. Artif. Intell. Res. 70: 1481-1515 (2021) - [j54]Gerdus Benadè, Swaprava Nath, Ariel D. Procaccia, Nisarg Shah:
Preference Elicitation for Participatory Budgeting. Manag. Sci. 67(5): 2813-2827 (2021) - [j53]Bailey Flanigan, Paul Gölz, Anupam Gupta, Brett Hennig, Ariel D. Procaccia:
Fair algorithms for selecting citizens' assemblies. Nat. 596(7873): 548-552 (2021) - [j52]Nika Haghtalab, Matthew O. Jackson, Ariel D. Procaccia:
Belief polarization in a complex world: A learning theory perspective. Proc. Natl. Acad. Sci. USA 118(19): e2010144118 (2021) - [j51]Hoon Oh, Ariel D. Procaccia, Warut Suksompong:
Fairly Allocating Many Goods with Few Queries. SIAM J. Discret. Math. 35(2): 788-813 (2021) - [j50]Paul Gölz, Anson Kahng, Simon Mackenzie, Ariel D. Procaccia:
The Fluid Mechanics of Liquid Democracy. ACM Trans. Economics and Comput. 9(4): 23:1-23:39 (2021) - [c145]Daniel Halpern, Gregory Kehne, Dominik Peters, Ariel D. Procaccia, Nisarg Shah, Piotr Skowron:
Aggregating Binary Judgments Ranked by Accuracy. AAAI 2021: 5456-5463 - [c144]D. Ellis Hershkowitz, Anson Kahng, Dominik Peters, Ariel D. Procaccia:
District-Fair Participatory Budgeting. AAAI 2021: 5464-5471 - [c143]Dominik Peters, Ariel D. Procaccia:
Preference Elicitation as Average-Case Sorting. AAAI 2021: 5647-5655 - [c142]Tom Yan, Ariel D. Procaccia:
If You Like Shapley Then You'll Love the Core. AAAI 2021: 5751-5759 - [c141]Ritesh Noothigattu, Tom Yan, Ariel D. Procaccia:
Inverse Reinforcement Learning From Like-Minded Teachers. AAAI 2021: 9197-9204 - [c140]Bailey Flanigan, Gregory Kehne, Ariel D. Procaccia:
Fair Sortition Made Transparent. NeurIPS 2021: 25720-25731 - [c139]Narges Ahani, Paul Gölz, Ariel D. Procaccia, Alexander Teytelboym, Andrew C. Trapp:
Dynamic Placement in Refugee Resettlement. EC 2021: 5 - [i40]D. Ellis Hershkowitz, Anson Kahng, Dominik Peters, Ariel D. Procaccia:
District-Fair Participatory Budgeting. CoRR abs/2102.06115 (2021) - [i39]Narges Ahani, Paul Gölz, Ariel D. Procaccia, Alexander Teytelboym, Andrew C. Trapp:
Dynamic Placement in Refugee Resettlement. CoRR abs/2105.14388 (2021) - [i38]Daniel Halpern, Joseph Y. Halpern, Ali Jadbabaie, Elchanan Mossel, Ariel D. Procaccia, Manon Revel:
In Defense of Fluid Democracy. CoRR abs/2107.11868 (2021) - [i37]Ariel D. Procaccia, Jamie Tucker-Foltz:
Compact Redistricting Plans Have Many Spanning Trees. CoRR abs/2109.13394 (2021) - 2020
- [j49]Ariel D. Procaccia:
An answer to fair division's most enigmatic question: technical perspective. Commun. ACM 63(4): 118 (2020) - [j48]Avrim Blum, John P. Dickerson, Nika Haghtalab, Ariel D. Procaccia, Tuomas Sandholm, Ankit Sharma:
Ignorance Is Almost Bliss: Near-Optimal Stochastic Matching with Few Queries. Oper. Res. 68(1): 16-34 (2020) - [c138]Tal Alon, Magdalen Dobson, Ariel D. Procaccia, Inbal Talgam-Cohen, Jamie Tucker-Foltz:
Multiagent Evaluation Mechanisms. AAAI 2020: 1774-1781 - [c137]Yasmine Kotturi, Anson Kahng, Ariel D. Procaccia, Chinmay Kulkarni:
HirePeer: Impartial Peer-Assessed Hiring at Scale in Expert Crowdsourcing Markets. AAAI 2020: 2577-2584 - [c136]Zheyuan Ryan Shi, Ariel D. Procaccia, Kevin S. Chan, Sridhar Venkatesan, Noam Ben-Asher, Nandi O. Leslie, Charles A. Kamhoua, Fei Fang:
Learning and Planning in the Feature Deception Problem. GameSec 2020: 23-44 - [c135]Nicholas Hoernle, Gregory Kehne, Ariel D. Procaccia, Kobi Gal:
The Phantom Steering Effect in Q&A Websites. ICDM 2020: 172-181 - [c134]Anson Kahng, Gregory Kehne, Ariel D. Procaccia:
Strategyproof Mean Estimation from Multiple-Choice Questions. ICML 2020: 5042-5052 - [c133]Bernhard Haeupler, D. Ellis Hershkowitz, Anson Kahng, Ariel D. Procaccia:
Computation-Aware Data Aggregation. ITCS 2020: 65:1-65:38 - [c132]Bailey Flanigan, Paul Gölz, Anupam Gupta, Ariel D. Procaccia:
Neutralizing Self-Selection Bias in Sampling for Sortition. NeurIPS 2020 - [c131]Ritesh Noothigattu, Dominik Peters, Ariel D. Procaccia:
Axioms for Learning from Pairwise Comparisons. NeurIPS 2020 - [c130]Dominik Peters, Ariel D. Procaccia, Alexandros Psomas, Zixin Zhou:
Explainable Voting. NeurIPS 2020 - [c129]Daniel Halpern, Ariel D. Procaccia, Alexandros Psomas, Nisarg Shah:
Fair Division with Binary Valuations: One Rule to Rule Them All. WINE 2020: 370-383 - [e2]Péter Biró, Jason D. Hartline, Michael Ostrovsky, Ariel D. Procaccia:
EC '20: The 21st ACM Conference on Economics and Computation, Virtual Event, Hungary, July 13-17, 2020. ACM 2020, ISBN 978-1-4503-7975-5 [contents] - [i36]Nicholas Hoernle, Gregory Kehne, Ariel D. Procaccia, Kobi Gal:
The Goal-Gradient Hypothesis in Stack Overflow. CoRR abs/2002.06160 (2020) - [i35]Bailey Flanigan, Paul Gölz, Anupam Gupta, Ariel D. Procaccia:
Neutralizing Self-Selection Bias in Sampling for Sortition. CoRR abs/2006.10498 (2020) - [i34]Daniel Halpern, Ariel D. Procaccia, Alexandros Psomas, Nisarg Shah:
Fair Division with Binary Valuations: One Rule to Rule Them All. CoRR abs/2007.06073 (2020)
2010 – 2019
- 2019
- [j47]John P. Dickerson, Ariel D. Procaccia, Tuomas Sandholm:
Failure-Aware Kidney Exchange. Manag. Sci. 65(4): 1768-1791 (2019) - [j46]Min Kyung Lee, Daniel Kusbit, Anson Kahng, Ji Tae Kim, Xinran Yuan, Allissa Chan, Daniel See, Ritesh Noothigattu, Siheon Lee, Alexandros Psomas, Ariel D. Procaccia:
WeBuildAI: Participatory Framework for Algorithmic Governance. Proc. ACM Hum. Comput. Interact. 3(CSCW): 181:1-181:35 (2019) - [j45]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): 12:1-12:32 (2019) - [c128]Paul Gölz, Ariel D. Procaccia:
Migration as Submodular Optimization. AAAI 2019: 549-556 - [c127]Gerdus Benadè, Ariel D. Procaccia, Mingda Qiao:
Low-Distortion Social Welfare Functions. AAAI 2019: 1788-1795 - [c126]Hoon Oh, Ariel D. Procaccia, Warut Suksompong:
Fairly Allocating Many Goods with Few Queries. AAAI 2019: 2141-2148 - [c125]Gerdus Benadè, Paul Gölz, Ariel D. Procaccia:
No Stratification Without Representation. EC 2019: 281-314 - [c124]Anson Kahng, Min Kyung Lee, Ritesh Noothigattu, Ariel D. Procaccia, Christos-Alexandros Psomas:
Statistical Foundations of Virtual Democracy. ICML 2019: 3173-3182 - [c123]Jiafan He, Ariel D. Procaccia, Alexandros Psomas, David Zeng:
Achieving a Fairer Future by Changing the Past. IJCAI 2019: 343-349 - [c122]Nika Haghtalab, Simon Mackenzie, Ariel D. Procaccia, Oren Salzman, Siddhartha S. Srinivasa:
The Provable Virtue of Laziness in Motion Planning. IJCAI 2019: 6161-6165 - [c121]Maria-Florina Balcan, Travis Dick, Ritesh Noothigattu, Ariel D. Procaccia:
Envy-Free Classification. NeurIPS 2019: 1238-1248 - [c120]Debmalya Mandal, Ariel D. Procaccia, Nisarg Shah, David P. Woodruff:
Efficient and Thrifty Voting by Any Means Necessary. NeurIPS 2019: 7178-7189 - [c119]Paul Gölz, Anson Kahng, Ariel D. Procaccia:
Paradoxes in Fair Machine Learning. NeurIPS 2019: 8340-8350 - [i33]Zheyuan Ryan Shi, Ariel D. Procaccia, Kevin S. Chan, Sridhar Venkatesan, Noam Ben-Asher, Nandi O. Leslie, Charles A. Kamhoua, Fei Fang:
Learning and Planning in Feature Deception Games. CoRR abs/1905.04833 (2019) - 2018
- [j44]Kobi Gal, Ariel D. Procaccia, Moshe Mash, Yair Zick:
Which is the fairest (rent division) of them all? Commun. ACM 61(2): 93-100 (2018) - [j43]David Kurokawa, Ariel D. Procaccia, Junxing Wang:
Fair Enough: Guaranteeing Approximate Maximin Shares. J. ACM 65(2): 8:1-8:27 (2018) - [j42]Yiling Chen, Chara Podimata, Ariel D. Procaccia, Nisarg Shah:
Strategyproof linear regression in high dimensions: an overview. SIGecom Exch. 17(1): 54-60 (2018) - [j41]David Kurokawa, Ariel D. Procaccia, Nisarg Shah:
Leximin Allocations in the Real World. ACM Trans. Economics and Comput. 6(3-4): 11:1-11:24 (2018) - [c118]Nika Haghtalab, Ritesh Noothigattu, Ariel D. Procaccia:
Weighted Voting Via No-Regret Learning. AAAI 2018: 1055-1062 - [c117]Anson Kahng, Yasmine Kotturi, Chinmay Kulkarni, David Kurokawa, Ariel D. Procaccia:
Ranking Wily People Who Rank Each Other. AAAI 2018: 1087-1094 - [c116]Anson Kahng, Simon Mackenzie, Ariel D. Procaccia:
Liquid Democracy: An Algorithmic Perspective. AAAI 2018: 1095-1102 - [c115]Ariel D. Procaccia, Rodrigo A. Velez, Dingli Yu:
Fair Rent Division on a Budget. AAAI 2018: 1177-1184 - [c114]Ariel D. Procaccia, David Wajc, Hanrui Zhang:
Approximation-Variance Tradeoffs in Facility Location Games. AAAI 2018: 1185-1192 - [c113]Ritesh Noothigattu, Snehalkumar (Neil) S. Gaikwad, Edmond Awad, Sohan Dsouza, Iyad Rahwan, Pradeep Ravikumar, Ariel D. Procaccia:
A Voting-Based System for Ethical Decision Making. AAAI 2018: 1587-1594 - [c112]Nika Haghtalab, Simon Mackenzie, Ariel D. Procaccia, Oren Salzman, Siddhartha S. Srinivasa:
The Provable Virtue of Laziness in Motion Planning. ICAPS 2018: 106-113 - [c111]Yiling Chen, Chara Podimata, Ariel D. Procaccia, Nisarg Shah:
Strategyproof Linear Regression in High Dimensions. EC 2018: 9-26 - [c110]Gerdus Benade, Aleksandr M. Kazachkov, Ariel D. Procaccia, Christos-Alexandros Psomas:
How to Make Envy Vanish Over Time. EC 2018: 593-610 - [c109]Paul Gölz, Anson Kahng, Simon Mackenzie, Ariel D. Procaccia:
The Fluid Mechanics of Liquid Democracy. WINE 2018: 188-202 - [i32]Yiling Chen, Chara Podimata, Ariel D. Procaccia, Nisarg Shah:
Strategyproof Linear Regression in High Dimensions. CoRR abs/1805.10693 (2018) - [i31]Bernhard Haeupler, D. Ellis Hershkowitz, Anson Kahng, Ariel D. Procaccia:
A Computational Approach to Organizational Structure. CoRR abs/1806.05701 (2018) - [i30]Hoon Oh, Ariel D. Procaccia, Warut Suksompong:
Fairly Allocating Many Goods with Few Queries. CoRR abs/1807.11367 (2018) - [i29]Paul Gölz, Anson Kahng, Simon Mackenzie, Ariel D. Procaccia:
The Fluid Mechanics of Liquid Democracy. CoRR abs/1808.01906 (2018) - [i28]Ritesh Noothigattu, Nihar B. Shah, Ariel D. Procaccia:
Choosing How to Choose Papers. CoRR abs/1808.09057 (2018) - [i27]Paul Gölz, Ariel D. Procaccia:
Migration as Submodular Optimization. CoRR abs/1809.02673 (2018) - [i26]Maria-Florina Balcan, Travis Dick, Ritesh Noothigattu, Ariel D. Procaccia:
Envy-Free Classification. CoRR abs/1809.08700 (2018) - 2017
- [j40]Ya'akov (Kobi) Gal, Moshe Mash, Ariel D. Procaccia, Yair Zick:
Which Is the Fairest (Rent Division) of Them All? J. ACM 64(6): 39:1-39:22 (2017) - [j39]Ioannis Caragiannis, Swaprava Nath, Ariel D. Procaccia, Nisarg Shah:
Subset Selection Via Implicit Utilitarian Voting. J. Artif. Intell. Res. 58: 123-152 (2017) - [j38]Nika Haghtalab, Aron Laszka, Ariel D. Procaccia, Yevgeniy Vorobeychik, Xenofon D. Koutsoukos:
Monitoring stealthy diffusion. Knowl. Inf. Syst. 52(3): 657-685 (2017) - [c108]Gerdus Benade, Swaprava Nath, Ariel D. Procaccia, Nisarg Shah:
Preference Elicitation For Participatory Budgeting. AAAI 2017: 376-382 - [c107]John P. Dickerson, Aleksandr M. Kazachkov, Ariel D. Procaccia, Tuomas Sandholm:
Small Representations of Big Kidney Exchange Graphs. AAAI 2017: 487-493 - [c106]John P. Dickerson, Aleksandr M. Kazachkov, Ariel D. Procaccia, Tuomas Sandholm:
Small Representations of Big Kidney Exchange Graphs. AAAI Workshops 2017 - [c105]Haifeng Zhang, Yevgeniy Vorobeychik, Ariel D. Procaccia:
Multi-Channel Marketing with Budget Complementarities. AAMAS 2017: 1232-1240 - [c104]Stefanos Nikolaidis, Swaprava Nath, Ariel D. Procaccia, Siddhartha S. Srinivasa:
Game-Theoretic Modeling of Human Adaptation in Human-Robot Collaboration. HRI 2017: 323-331 - [c103]Kijung Shin, Euiwoong Lee, Dhivya Eswaran, Ariel D. Procaccia:
Why You Should Charge Your Friends for Borrowing Your Stuff. IJCAI 2017: 395-401 - [c102]Ya'akov (Kobi) Gal, Moshe Mash, Ariel D. Procaccia, Yair Zick:
Which is the Fairest (Rent Division) of Them All? [Extended Abstract]. IJCAI 2017: 4841-4843 - [c101]Avrim Blum, Nika Haghtalab, Ariel D. Procaccia, Mingda Qiao:
Collaborative PAC Learning. NIPS 2017: 2392-2401 - [c100]Gerdus Benade, Anson Kahng, Ariel D. Procaccia:
Making Right Decisions Based on Wrong Opinions. EC 2017: 267-284 - [c99]Ariel D. Procaccia, Junxing Wang:
A Lower Bound for Equitable Cake Cutting. EC 2017: 479-495 - [c98]Avrim Blum, Ioannis Caragiannis, Nika Haghtalab, Ariel D. Procaccia, Eviatar B. Procaccia, Rohit Vaish:
Opting Into Optimal Matchings. SODA 2017: 2351-2363 - [i25]Stefanos Nikolaidis, Swaprava Nath, Ariel D. Procaccia, Siddhartha S. Srinivasa:
Game-Theoretic Modeling of Human Adaptation in Human-Robot Collaboration. CoRR abs/1701.07790 (2017) - [i24]Nika Haghtalab, Ritesh Noothigattu, Ariel D. Procaccia:
Weighted Voting Via No-Regret Learning. CoRR abs/1703.04756 (2017) - [i23]Kijung Shin, Euiwoong Lee, Dhivya Eswaran, Ariel D. Procaccia:
Why You Should Charge Your Friends for Borrowing Your Stuff. CoRR abs/1705.07343 (2017) - [i22]Ritesh Noothigattu, Snehalkumar (Neil) S. Gaikwad, Edmond Awad, Sohan Dsouza, Iyad Rahwan, Pradeep Ravikumar, Ariel D. Procaccia:
A Voting-Based System for Ethical Decision Making. CoRR abs/1709.06692 (2017) - [i21]Nika Haghtalab, Simon Mackenzie, Ariel D. Procaccia, Oren Salzman, Siddhartha S. Srinivasa:
The Provable Virtue of Laziness in Motion Planning. CoRR abs/1710.04101 (2017) - [i20]Wesley Pegden, Ariel D. Procaccia, Dingli Yu:
A partisan districting protocol with provably nonpartisan outcomes. CoRR abs/1710.08781 (2017) - 2016
- [j37]Ariel D. Procaccia, Nisarg Shah, Yair Zick:
Voting rules as error-correcting codes. Artif. Intell. 231: 1-16 (2016) - [j36]Ioannis Caragiannis, Ariel D. Procaccia, Nisarg Shah:
When Do Noisy Votes Reveal the Truth? ACM Trans. Economics and Comput. 4(3): 15:1-15:30 (2016) - [c97]Simina Brânzei, Ioannis Caragiannis, David Kurokawa, Ariel D. Procaccia:
An Algorithmic Framework for Strategic Fair Division. AAAI 2016: 418-424 - [c96]David Kurokawa, Ariel D. Procaccia, Junxing Wang:
When Can the Maximin Share Guarantee Be Guaranteed? AAAI 2016: 523-529 - [c95]Ariel D. Procaccia, Nisarg Shah:
Optimal Aggregation of Uncertain Preferences. AAAI 2016: 608-614 - [c94]Ioannis Caragiannis, Ariel D. Procaccia, Nisarg Shah:
Truthful Univariate Estimators. ICML 2016: 127-135 - [c93]Ioannis Caragiannis, Swaprava Nath, Ariel D. Procaccia, Nisarg Shah:
Subset Selection via Implicit Utilitarian Voting. IJCAI 2016: 151-157 - [c92]Nika Haghtalab, Fei Fang, Thanh Hong Nguyen, Arunesh Sinha, Ariel D. Procaccia, Milind Tambe:
Three Strategies to Success: Learning Adversary Models in Security Games. IJCAI 2016: 308-314 - [c91]Ya'akov (Kobi) Gal, Moshe Mash, Ariel D. Procaccia, Yair Zick:
Which Is the Fairest (Rent Division) of Them All? EC 2016: 67-84 - [c90]Ioannis Caragiannis, David Kurokawa, Hervé Moulin, Ariel D. Procaccia, Nisarg Shah, Junxing Wang:
The Unreasonable Fairness of Maximum Nash Welfare. EC 2016: 305-322 - [e1]Felix Brandt, Vincent Conitzer, Ulle Endriss, Jérôme Lang, Ariel D. Procaccia:
Handbook of Computational Social Choice. Cambridge University Press 2016, ISBN 9781107446984 [contents] - [r2]Felix Brandt, Vincent Conitzer, Ulle Endriss, Jérôme Lang, Ariel D. Procaccia:
Introduction to Computational Social Choice. Handbook of Computational Social Choice 2016: 1-20 - [r1]Ariel D. Procaccia:
Cake Cutting Algorithms. Handbook of Computational Social Choice 2016: 311-330 - [i19]John P. Dickerson, Aleksandr M. Kazachkov, Ariel D. Procaccia, Tuomas Sandholm:
Small Representations of Big Kidney Exchange Graphs. CoRR abs/1605.07728 (2016) - [i18]Avrim Blum, Ioannis Caragiannis, Nika Haghtalab, Ariel D. Procaccia, Eviatar B. Procaccia, Rohit Vaish:
Opting Into Optimal Matchings. CoRR abs/1609.04051 (2016) - [i17]Yonatan Aumann, Jérôme Lang, Ariel D. Procaccia:
Fair Division (Dagstuhl Seminar 16232). Dagstuhl Reports 6(6): 10-25 (2016) - 2015
- [j35]Craig Boutilier, Ioannis Caragiannis, Simi Haber, Tyler Lu, Ariel D. Procaccia, Or Sheffet:
Optimal social choice functions: A utilitarian view. Artif. Intell. 227: 190-213 (2015) - [j34]Itai Ashlagi, Felix A. Fischer, Ian A. Kash, Ariel D. Procaccia:
Mix and match: A strategyproof mechanism for multi-hospital kidney exchange. Games Econ. Behav. 91: 284-296 (2015) - [j33]Ioannis Caragiannis, Aris Filos-Ratsikas, Ariel D. Procaccia:
An improved 2-agent kidney exchange mechanism. Theor. Comput. Sci. 589: 53-60 (2015) - [j32]David C. Parkes, Ariel D. Procaccia, Nisarg Shah:
Beyond Dominant Resource Fairness: Extensions, Limitations, and Indivisibilities. ACM Trans. Economics and Comput. 3(1): 3:1-3:22 (2015) - [c89]Jeremiah Blocki, Nicolas Christin, Anupam Datta, Ariel D. Procaccia, Arunesh Sinha:
Audit Games with Multiple Defender Resources. AAAI 2015: 791-797 - [c88]Ariel D. Procaccia, Nisarg Shah, Yair Zick:
Voting Rules As Error-Correcting Codes. AAAI 2015: 1000-1006 - [c87]Haifeng Zhang, Ariel D. Procaccia, Yevgeniy Vorobeychik:
Dynamic Influence Maximization Under Increasing Returns to Scale. AAMAS 2015: 949-957 - [c86]Nika Haghtalab, Aron Laszka, Ariel D. Procaccia, Yevgeniy Vorobeychik, Xenofon D. Koutsoukos:
Monitoring Stealthy Diffusion. ICDM 2015: 151-160 - [c85]Maria-Florina Balcan, Ariel D. Procaccia, Yair Zick:
Learning Cooperative Games. IJCAI 2015: 475-481 - [c84]Amit Datta, Anupam Datta, Ariel D. Procaccia, Yair Zick:
Influence in Classification via Cooperative Game Theory. IJCAI 2015: 511-517 - [c83]David Kurokawa, Omer Lev, Jamie Morgenstern, Ariel D. Procaccia:
Impartial Peer Review. IJCAI 2015: 582-588 - [c82]Ariel D. Procaccia, Nisarg Shah, Eric Sodomka:
Ranked Voting on Social Networks. IJCAI 2015: 2040-2046 - [c81]Simina Brânzei, Ariel D. Procaccia:
Verifiably Truthful Mechanisms. ITCS 2015: 297-306 - [c80]Ariel D. Procaccia, Nisarg Shah:
Is Approval Voting Optimal Given Approval Votes? NIPS 2015: 1801-1809 - [c79]Maria-Florina Balcan, Avrim Blum, Nika Haghtalab, Ariel D. Procaccia:
Commitment Without Regrets: Online Learning in Stackelberg Security Games. EC 2015: 61-78 - [c78]Avrim Blum, John P. Dickerson, Nika Haghtalab, Ariel D. Procaccia, Tuomas Sandholm, Ankit Sharma:
Ignorance is Almost Bliss: Near-Optimal Stochastic Matching With Few Queries. EC 2015: 325-342 - [c77]David Kurokawa, Ariel D. Procaccia, Nisarg Shah:
Leximin Allocations in the Real World. EC 2015: 345-362 - [i16]Amit Datta, Anupam Datta, Ariel D. Procaccia, Yair Zick:
Influence in Classification via Cooperative Game Theory. CoRR abs/1505.00036 (2015) - [i15]Maria-Florina Balcan, Ariel D. Procaccia, Yair Zick:
Learning Cooperative Games. CoRR abs/1505.00039 (2015) - 2014
- [j31]Ian A. Kash, Ariel D. Procaccia, Nisarg Shah:
No Agent Left Behind: Dynamic Fair Division of Multiple Resources. J. Artif. Intell. Res. 51: 579-603 (2014) - [j30]Ariel D. Procaccia:
Editor's introduction. SIGecom Exch. 13(1): 1 (2014) - [j29]Jonathan R. Goldman, Ariel D. Procaccia:
Spliddit: unleashing fair division algorithms. SIGecom Exch. 13(2): 41-46 (2014) - [j28]Ioannis Caragiannis, Christos Kaklamanis, Nikos Karanikolas, Ariel D. Procaccia:
Socially desirable approximations for dodgson's voting rule. ACM Trans. Algorithms 10(2): 6:1-6:28 (2014) - [c76]Eric Balkanski, Simina Brânzei, David Kurokawa, Ariel D. Procaccia:
Simultaneous Cake Cutting. AAAI 2014: 566-572 - [c75]Avrim Blum, Nika Haghtalab, Ariel D. Procaccia:
Lazy Defenders Are Almost Optimal against Diligent Attackers. AAAI 2014: 573-579 - [c74]Ioannis Caragiannis, David Kurokawa, Ariel D. Procaccia:
Biased Games. AAAI 2014: 609-615 - [c73]Ioannis Caragiannis, Ariel D. Procaccia, Nisarg Shah:
Modal Ranking: A Uniquely Robust Voting Rule. AAAI 2014: 616-622 - [c72]Jeremy Karp, Aleksandr M. Kazachkov, Ariel D. Procaccia:
Envy-Free Division of Sellable Goods. AAAI 2014: 728-734 - [c71]Ariel D. Procaccia, Nisarg Shah, Max Lee Tucker:
On the Structure of Synergies in Cooperative Games. AAAI 2014: 763-769 - [c70]John P. Dickerson, Jonathan R. Goldman, Jeremy Karp, Ariel D. Procaccia, Tuomas Sandholm:
The Computational Rise and Fall of Fairness. AAAI 2014: 1405-1411 - [c69]John P. Dickerson, Ariel D. Procaccia, Tuomas Sandholm:
Price of fairness in kidney exchange. AAMAS 2014: 1013-1020 - [c68]Avrim Blum, Nika Haghtalab, Ariel D. Procaccia:
Learning Optimal Commitment to Overcome Insecurity. NIPS 2014: 1826-1834 - [c67]Albert Xin Jiang, Leandro Soriano Marcolino, Ariel D. Procaccia, Tuomas Sandholm, Nisarg Shah, Milind Tambe:
Diverse Randomized Agents Vote to Win. NIPS 2014: 2573-2581 - [c66]Ariel D. Procaccia, Junxing Wang:
Fair enough: guaranteeing approximate maximin shares. EC 2014: 675-692 - [i14]Avrim Blum, Nika Haghtalab, Ariel D. Procaccia, Ankit Sharma:
Ignorance is Almost Bliss: Near-Optimal Stochastic Matching With Few Queries. CoRR abs/1407.4094 (2014) - [i13]Jeremiah Blocki, Nicolas Christin, Anupam Datta, Ariel D. Procaccia, Arunesh Sinha:
Audit Games with Multiple Defender Resources. CoRR abs/1409.4503 (2014) - [i12]Simina Brânzei, Ariel D. Procaccia:
Verifiably Truthful Mechanisms. CoRR abs/1412.0056 (2014) - 2013
- [j27]Ariel D. Procaccia:
Cake cutting: not just child's play. Commun. ACM 56(7): 78-87 (2013) - [j26]Yiling Chen, John K. Lai, David C. Parkes, Ariel D. Procaccia:
Truth, justice, and cake cutting. Games Econ. Behav. 77(1): 284-297 (2013) - [j25]Elchanan Mossel, Ariel D. Procaccia, Miklós Z. Rácz:
A Smooth Transition from Powerlessness to Absolute Power. J. Artif. Intell. Res. 48: 923-951 (2013) - [j24]Ariel D. Procaccia:
Editor's introduction. SIGecom Exch. 12(1): 1 (2013) - [j23]Ariel D. Procaccia:
Editor's introduction. SIGecom Exch. 12(2): 1 (2013) - [j22]Ariel D. Procaccia, Moshe Tennenholtz:
Approximate Mechanism Design without Money. ACM Trans. Economics and Comput. 1(4): 18:1-18:26 (2013) - [c65]Simina Brânzei, Ioannis Caragiannis, Jamie Morgenstern, Ariel D. Procaccia:
How Bad Is Selfish Voting? AAAI 2013: 138-144 - [c64]David Kurokawa, John K. Lai, Ariel D. Procaccia:
How to Cut a Cake Before the Party Ends. AAAI 2013: 555-561 - [c63]David C. Parkes, Ariel D. Procaccia:
Dynamic Social Choice with Evolving Preferences. AAAI 2013: 767-773 - [c62]Andrew Mao, Ariel D. Procaccia, Yiling Chen:
Better Human Computation Through Principled Voting. AAAI 2013: 1142-1148 - [c61]Ian A. Kash, Ariel D. Procaccia, Nisarg Shah:
No agent left behind: dynamic fair division of multiple resources. AAMAS 2013: 351-358 - [c60]Albert Xin Jiang, Thanh Hong Nguyen, Milind Tambe, Ariel D. Procaccia:
Monotonic Maximin: A Robust Stackelberg Solution against Boundedly Rational Followers. GameSec 2013: 119-139 - [c59]Jeremiah Blocki, Nicolas Christin, Anupam Datta, Ariel D. Procaccia, Arunesh Sinha:
Audit Games. IJCAI 2013: 41-47 - [c58]Simina Brânzei, Ariel D. Procaccia, Jie Zhang:
Externalities in Cake Cutting. IJCAI 2013: 55-61 - [c57]Albert Xin Jiang, Ariel D. Procaccia, Yundi Qian, Nisarg Shah, Milind Tambe:
Defender (Mis)coordination in Security Games. IJCAI 2013: 220-226 - [c56]Jeremiah Blocki, Saranga Komanduri, Ariel D. Procaccia, Or Sheffet:
Optimizing password composition policies. EC 2013: 105-122 - [c55]Avrim Blum, Anupam Gupta, Ariel D. Procaccia, Ankit Sharma:
Harnessing the power of two crossmatches. EC 2013: 123-140 - [c54]Ioannis Caragiannis, Ariel D. Procaccia, Nisarg Shah:
When do noisy votes reveal the truth? EC 2013: 143-160 - [c53]John P. Dickerson, Ariel D. Procaccia, Tuomas Sandholm:
Failure-aware kidney exchange. EC 2013: 323-340 - [i11]Jeremiah Blocki, Saranga Komanduri, Ariel D. Procaccia, Or Sheffet:
Optimizing Password Composition Policies. CoRR abs/1302.5101 (2013) - [i10]Jeremiah Blocki, Nicolas Christin, Anupam Datta, Ariel D. Procaccia, Arunesh Sinha:
Audit Games. CoRR abs/1303.0356 (2013) - [i9]Simina Brânzei, Ioannis Caragiannis, David Kurokawa, Ariel D. Procaccia:
Equilibria of Generalized Cut and Choose Protocols. CoRR abs/1307.2225 (2013) - 2012
- [j21]Reshef Meir, Ariel D. Procaccia, Jeffrey S. Rosenschein:
Algorithms for strategyproof classification. Artif. Intell. 186: 123-156 (2012) - [j20]Ioannis Caragiannis, Jason A. Covey, Michal Feldman, Christopher M. Homan, Christos Kaklamanis, Nikos Karanikolas, Ariel D. Procaccia, Jeffrey S. Rosenschein:
On the approximability of Dodgson and Young elections. Artif. Intell. 187: 31-51 (2012) - [j19]Ariel D. Procaccia:
Editor's introduction. SIGecom Exch. 11(2): 1 (2012) - [c52]Craig Boutilier, Ariel D. Procaccia:
A Dynamic Rationalization of Distance Rationalizability. AAAI 2012: 1278-1284 - [c51]Steven J. Brams, Michal Feldman, John K. Lai, Jamie Morgenstern, Ariel D. Procaccia:
On Maxsum Fair Cake Divisions. AAAI 2012: 1285-1291 - [c50]John P. Dickerson, Ariel D. Procaccia, Tuomas Sandholm:
Dynamic Matching via Weighted Myopia with Application to Kidney Exchange. AAAI 2012: 1340-1346 - [c49]John P. Dickerson, Ariel D. Procaccia, Tuomas Sandholm:
Optimizing kidney exchange with transplant chains: theory and reality. AAMAS 2012: 711-718 - [c48]Andrew Mao, Yiling Chen, Krzysztof Z. Gajos, David C. Parkes, Ariel D. Procaccia, Haoqi Zhang:
TurkServer: Enabling Synchronous and Longitudinal Online Experiments. HCOMP@AAAI 2012 - [c47]Andrew Mao, Ariel D. Procaccia, Yiling Chen:
Social Choice for Human Computation. HCOMP@AAAI 2012 - [c46]Craig Boutilier, Ioannis Caragiannis, Simi Haber, Tyler Lu, Ariel D. Procaccia, Or Sheffet:
Optimal social choice functions: a utilitarian view. EC 2012: 197-214 - [c45]David C. Parkes, Ariel D. Procaccia, Nisarg Shah:
Beyond dominant resource fairness: extensions, limitations, and indivisibilities. EC 2012: 808-825 - [c44]Tyler Lu, Pingzhong Tang, Ariel D. Procaccia, Craig Boutilier:
Bayesian Vote Manipulation: Optimal Strategies and Impact on Welfare. UAI 2012: 543-553 - [c43]Ariel D. Procaccia, Sashank Jakkam Reddi, Nisarg Shah:
A Maximum Likelihood Approach For Selecting Sets of Alternatives. UAI 2012: 695-704 - [i8]Elchanan Mossel, Ariel D. Procaccia, Miklós Z. Rácz:
A Smooth Transition from Powerlessness to Absolute Power. CoRR abs/1205.2074 (2012) - [i7]Ariel D. Procaccia, Sashank Jakkam Reddi, Nisarg Shah:
A Maximum Likelihood Approach For Selecting Sets of Alternatives. CoRR abs/1210.4882 (2012) - [i6]Tyler Lu, Pingzhong Tang, Ariel D. Procaccia, Craig Boutilier:
Bayesian Vote Manipulation: Optimal Strategies and Impact on Welfare. CoRR abs/1210.4895 (2012) - 2011
- [j18]Ioannis Caragiannis, Ariel D. Procaccia:
Voting almost maximizes social welfare despite limited communication. Artif. Intell. 175(9-10): 1655-1671 (2011) - [j17]Ariel D. Procaccia:
Computational social choice: the first four centuries. XRDS 18(2): 31-34 (2011) - [j16]Felix A. Fischer, Ariel D. Procaccia, Alex Samorodnitsky:
A new perspective on implementation by voting trees. Random Struct. Algorithms 39(1): 59-82 (2011) - [c42]Yuga J. Cohler, John K. Lai, David C. Parkes, Ariel D. Procaccia:
Optimal Envy-Free Cake Cutting. AAAI 2011: 626-631 - [c41]Yiling Chen, Jerry Kung, David C. Parkes, Ariel D. Procaccia, Haoqi Zhang:
Incentive design for adaptive agents. AAMAS 2011: 627-634 - [c40]Ioannis Caragiannis, John K. Lai, Ariel D. Procaccia:
Towards More Expressive Cake Cutting. IJCAI 2011: 127-132 - [c39]Noga Alon, Felix A. Fischer, Ariel D. Procaccia, Moshe Tennenholtz:
Sum of us: strategyproof selection from the selectors. TARK 2011: 101-110 - [c38]Ioannis Caragiannis, Aris Filos-Ratsikas, Ariel D. Procaccia:
An Improved 2-Agent Kidney Exchange Mechanism. WINE 2011: 37-48 - 2010
- [j15]Yoram Bachrach, Evangelos Markakis, Ezra Resnick, Ariel D. Procaccia, Jeffrey S. Rosenschein, Amin Saberi:
Approximating power indices: theoretical and empirical analysis. Auton. Agents Multi Agent Syst. 20(2): 105-122 (2010) - [j14]Piotr Faliszewski, Ariel D. Procaccia:
AI's War on Manipulation: Are We Winning? AI Mag. 31(4): 53-64 (2010) - [j13]Noga Alon, Michal Feldman, Ariel D. Procaccia, Moshe Tennenholtz:
Walking in circles. Discret. Math. 310(23): 3432-3435 (2010) - [j12]Bezalel Peleg, Ariel D. Procaccia:
Implementation by mediated equilibrium. Int. J. Game Theory 39(1-2): 191-207 (2010) - [j11]Noga Alon, Michal Feldman, Ariel D. Procaccia, Moshe Tennenholtz:
A note on competitive diffusion through social networks. Inf. Process. Lett. 110(6): 221-225 (2010) - [j10]Ofer Dekel, Felix A. Fischer, Ariel D. Procaccia:
Incentive compatible regression learning. J. Comput. Syst. Sci. 76(8): 759-777 (2010) - [j9]Noga Alon, Michal Feldman, Ariel D. Procaccia, Moshe Tennenholtz:
Strategyproof Approximation of the Minimax on Networks. Math. Oper. Res. 35(3): 513-526 (2010) - [c37]Ioannis Caragiannis, Ariel D. Procaccia:
Voting Almost Maximizes Social Welfare Despite Limited Communication. AAAI 2010: 743-748 - [c36]Yiling Chen, John K. Lai, David C. Parkes, Ariel D. Procaccia:
Truth, Justice, and Cake Cutting. AAAI 2010: 756-761 - [c35]Ariel D. Procaccia:
Can Approximation Circumvent Gibbard-Satterthwaite? AAAI 2010: 836-841 - [c34]Reshef Meir, Ariel D. Procaccia, Jeffrey S. Rosenschein:
On the limits of dictatorial classification. AAMAS 2010: 609-616 - [c33]Tyler Moore, Allan Friedman, Ariel D. Procaccia:
Would a 'cyber warrior' protect us: exploring trade-offs between attack and defense of information systems. NSPW 2010: 85-94 - [c32]Ioannis Caragiannis, Christos Kaklamanis, Nikos Karanikolas, Ariel D. Procaccia:
Socially desirable approximations for Dodgson's voting rule. EC 2010: 253-262 - [c31]Lirong Xia, Vincent Conitzer, Ariel D. Procaccia:
A scheduling approach to coalitional manipulation. EC 2010: 275-284 - [c30]Itai Ashlagi, Felix A. Fischer, Ian A. Kash, Ariel D. Procaccia:
Mix and match. EC 2010: 305-314 - [i5]Alon Altman, Ariel D. Procaccia, Moshe Tennenholtz:
Nonmanipulable Selections from a Tournament. Computational Foundations of Social Choice 2010 - [i4]Itai Ashlagi, Felix A. Fischer, Ian A. Kash, Ariel D. Procaccia:
Mix and Match. CoRR abs/1006.1881 (2010)
2000 – 2009
- 2009
- [j8]Yoram Bachrach, Ariel Parnes, Ariel D. Procaccia, Jeffrey S. Rosenschein:
Gossip-based aggregation of trust in decentralized reputation systems. Auton. Agents Multi Agent Syst. 19(2): 153-172 (2009) - [j7]Michael Zuckerman, Ariel D. Procaccia, Jeffrey S. Rosenschein:
Algorithms for the coalitional manipulation problem. Artif. Intell. 173(2): 392-412 (2009) - [j6]Ariel D. Procaccia, Aviv Zohar, Yoni Peleg, Jeffrey S. Rosenschein:
The learnability of voting rules. Artif. Intell. 173(12-13): 1133-1149 (2009) - [c29]Alon Altman, Ariel D. Procaccia, Moshe Tennenholtz:
Nonmanipulable Selections from a Tournament. IJCAI 2009: 27-32 - [c28]Reshef Meir, Ariel D. Procaccia, Jeffrey S. Rosenschein:
Strategyproof Classification with Shared Inputs. IJCAI 2009: 220-225 - [c27]Ariel D. Procaccia:
Thou Shalt Covet Thy Neighbor's Cake. IJCAI 2009: 239-244 - [c26]Lirong Xia, Michael Zuckerman, Ariel D. Procaccia, Vincent Conitzer, Jeffrey S. Rosenschein:
Complexity of Unweighted Coalitional Manipulation under Some Common Voting Rules. IJCAI 2009: 348-353 - [c25]Felix A. Fischer, Ariel D. Procaccia, Alex Samorodnitsky:
A new perspective on implementation by voting trees. EC 2009: 31-40 - [c24]Ariel D. Procaccia, Moshe Tennenholtz:
Approximate mechanism design without money. EC 2009: 177-186 - [c23]Ioannis Caragiannis, Jason A. Covey, Michal Feldman, Christopher M. Homan, Christos Kaklamanis, Nikos Karanikolas, Ariel D. Procaccia, Jeffrey S. Rosenschein:
On the approximability of Dodgson and Young elections. SODA 2009: 1058-1067 - [i3]Noga Alon, Michal Feldman, Ariel D. Procaccia, Moshe Tennenholtz:
Strategyproof Approximation Mechanisms for Location on Networks. CoRR abs/0907.2049 (2009) - [i2]Noga Alon, Felix A. Fischer, Ariel D. Procaccia, Moshe Tennenholtz:
Sum of Us: Strategyproof Selection from the Selectors. CoRR abs/0910.4699 (2009) - 2008
- [b1]Ariel D. Procaccia:
Computational voting theory : of the agents, by the agents, for the agents (עם תקציר בעברית, תכן ושער נוסף: תורת הבחירות החישובית.). Hebrew University of Jerusalem, Israel, 2008 - [j5]Ariel D. Procaccia:
A note on the query complexity of the Condorcet winner problem. Inf. Process. Lett. 108(6): 390-393 (2008) - [j4]Reshef Meir, Ariel D. Procaccia, Jeffrey S. Rosenschein, Aviv Zohar:
Complexity of Strategic Behavior in Multi-Winner Elections. J. Artif. Intell. Res. 33: 149-178 (2008) - [j3]Ariel D. Procaccia, Jeffrey S. Rosenschein, Aviv Zohar:
On the complexity of achieving proportional representation. Soc. Choice Welf. 30(3): 353-362 (2008) - [j2]Ariel D. Procaccia:
Towards a theory of incentives in machine learning. SIGecom Exch. 7(2) (2008) - [c22]Reshef Meir, Ariel D. Procaccia, Jeffrey S. Rosenschein:
Strategyproof Classification under Constant Hypotheses: A Tale of Two Functions. AAAI 2008: 126-131 - [c21]Yoram Bachrach, Evangelos Markakis, Ariel D. Procaccia, Jeffrey S. Rosenschein, Amin Saberi:
Approximating power indices. AAMAS (2) 2008: 943-950 - [c20]Ariel D. Procaccia, Aviv Zohar, Jeffrey S. Rosenschein:
Automated design of scoring rules by learning from examples. AAMAS (2) 2008: 951-958 - [c19]Reshef Meir, Ariel D. Procaccia, Jeffrey S. Rosenschein:
A broader picture of the complexity of strategic behavior in multi-winner elections. AAMAS (2) 2008: 991-998 - [c18]Michael Zuckerman, Ariel D. Procaccia, Jeffrey S. Rosenschein:
Algorithms for the coalitional manipulation problem. SODA 2008: 277-286 - [c17]Ofer Dekel, Felix A. Fischer, Ariel D. Procaccia:
Incentive compatible regression learning. SODA 2008: 884-893 - [c16]Shahar Dobzinski, Ariel D. Procaccia:
Frequent Manipulability of Elections: The Case of Two Voters. WINE 2008: 653-664 - 2007
- [j1]Ariel D. Procaccia, Jeffrey S. Rosenschein:
Junta Distributions and the Average-Case Complexity of Manipulating Elections. J. Artif. Intell. Res. 28: 157-181 (2007) - [c15]Ariel D. Procaccia, Aviv Zohar, Yoni Peleg, Jeffrey S. Rosenschein:
Learning Voting Trees. AAAI 2007: 110-115 - [c14]Ariel D. Procaccia, Jeffrey S. Rosenschein, Gal A. Kaminka:
On the robustness of preference aggregation in noisy environments. AAMAS 2007: 66 - [c13]Ariel D. Procaccia, Jeffrey S. Rosenschein:
Average-case tractability of manipulation in voting via the fraction of manipulators. AAMAS 2007: 105 - [c12]Ariel D. Procaccia, Jeffrey S. Rosenschein:
A computational characterization of multiagent games with fallacious rewards. AAMAS 2007: 190 - [c11]Ariel D. Procaccia, Yoram Bachrach, Jeffrey S. Rosenschein:
Gossip-Based Aggregation of Trust in Decentralized Reputation Systems. IJCAI 2007: 1470-1475 - [c10]Ariel D. Procaccia, Jeffrey S. Rosenschein, Aviv Zohar:
Multi-Winner Elections: Complexity of Manipulation, Control and Winner-Determination. IJCAI 2007: 1476-1481 - [i1]Ofer Dekel, Felix A. Fischer, Ariel D. Procaccia:
Incentive Compatible Regression Learning. Computational Social Systems and the Internet 2007 - 2006
- [c9]Ariel D. Procaccia, Jeffrey S. Rosenschein:
Junta distributions and the average-case complexity of manipulating elections. AAMAS 2006: 497-504 - [c8]Ariel D. Procaccia, Jeffrey S. Rosenschein:
The communication complexity of coalition formation among autonomous agents. AAMAS 2006: 505-512 - [c7]Ariel D. Procaccia, Jeffrey S. Rosenschein:
Learning to identify winning coalitions in the PAC model. AAMAS 2006: 673-675 - [c6]Jeffrey S. Rosenschein, Ariel D. Procaccia:
Voting in Cooperative Information Agent Scenarios: Use and Abuse. CIA 2006: 33-50 - [c5]Ariel D. Procaccia, Jeffrey S. Rosenschein:
The Distortion of Cardinal Preferences in Voting. CIA 2006: 317-331 - 2005
- [c4]Ariel D. Procaccia, Jeffrey S. Rosenschein:
Junta Distributions and the Average-Case Complexity of Manipulating Elections. EUMAS 2005: 282-291 - [c3]Ariel D. Procaccia, Jeffrey S. Rosenschein:
The Communication Complexity of Coalition Formation Among Autonomous Agents. EUMAS 2005: 292-301 - [c2]Ariel D. Procaccia, Jeffrey S. Rosenschein:
Learning to Identify Winning Coalitions in the PAC model. EUMAS 2005: 302-311 - [c1]Ariel D. Procaccia, Jeffrey S. Rosenschein:
Extensive-Form Argumentation Games. EUMAS 2005: 312-322
Coauthor Index
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Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2025-04-20 23:53 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
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since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
