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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
- 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) - [c164]Bailey Flanigan, Jennifer Liang, Ariel D. Procaccia, Sven Wang:
Manipulation-Robust Selection of Citizens' Assemblies. AAAI 2024: 9696-9703 - [c163]Kanad Pardeshi, Itai Shapira, Ariel D. Procaccia, Aarti Singh:
Learning Decision-Making Functions Given Cardinal and Ordinal Consensus Data. AAAI Spring Symposia 2024: 572 - [c162]Bhaskar Ray Chaudhury, Aniket Murhekar, Zhuowen Yuan, Bo Li, Ruta Mehta, Ariel D. Procaccia:
Fair Federated Learning via the Proportional Veto Core. ICML 2024 - [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 - [i55]Ariel D. Procaccia, Ben Schiffer, Shirley Zhang:
Multi-Apartment Rent Division. CoRR abs/2403.08051 (2024) - [i54]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) - [i53]Yiling Chen, Tao Lin, Ariel D. Procaccia, Aaditya Ramdas, Itai Shapira:
Bias Detection Via Signaling. CoRR abs/2405.17694 (2024) - [i52]Kanad Shrikar Pardeshi, Itai Shapira, Ariel D. Procaccia, Aarti Singh:
Learning Social Welfare Functions. CoRR abs/2405.17700 (2024) - [i51]Daniel Halpern, Ariel D. Procaccia, Ehud Shapiro, Nimrod Talmon:
Federated Assemblies. CoRR abs/2405.19129 (2024) - [i50]Ariel D. Procaccia, Benjamin Schiffer, Shirley Zhang:
Honor Among Bandits: No-Regret Learning for Online Fair Division. CoRR abs/2407.01795 (2024) - [i49]Yiling Chen, Safwan Hossain, Evi Micha, Ariel D. Procaccia:
Strategic Classification With Externalities. CoRR abs/2410.08032 (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]