Rupert Freeman
Darden School of Business
100 Darden Blvd
Charlottesville, VA 22903
About Me
I am an Assistant Professor in the Darden School of Business at the University of Virginia. Prior to this, I was a postdoc at Microsoft Research New York City, a computer science PhD student
at Duke University advised by
Vince Conitzer, and an undergraduate at the University of Auckland, New Zealand
.
I am interested in various topics at the intersection of computer science and economics including computational social choice, fair division, resource allocation, and prediction mechanisms.
My
CV .
Note: Nisarg and I gave
a tutorial on fair division at EC 2019, AAAI 2020 and AAMAS 2020. The most current version of the slides can be found here.
Publications
2020
-
No-Regret and Incentive-Compatible
Online Learning. Rupert Freeman, David M. Pennock, Chara Podimata, and Jennifer Wortman
Vaughan. To appear in Proceedings of the Thirty-Seventh International
Conference on Machine Learning (ICML-20).
-
Best of Both Worlds: Ex-Ante and Ex-Post Fairness in Resource
Allocaiton. Rupert Freeman, Nisarg Shah, and
Rohit Vaish. To appear in Proceedings of the Twenty-First ACM Conference
on Economics and Computation
(EC-20). Full version.
-
Proportionality in Approval-Based Elections With a
Variable Number of Winners. Rupert Freeman, Anson Kahng, and David
M. Pennock. To appear in Proceedings of the Twenty-Ninth International
Joint Conference on Artificial Intelligence (IJCAI-20), Yokohama,
Japan, 2020. Full version.
-
Equitable Allocations of Indivisible Chores. Rupert Freeman, Sujoy Sikdar,
Rohit Vaish, and Lirong Xia. In Proceedings of the Nineteenth
International Joint Conference on Autonomous Agents and Multi Agent
Systems (AAMAS-20), Auckland, New Zealand,
2020. Full version.
-
Preventing Arbitrage
from Collusion when Eliciting Probabilities. Rupert Freeman, David M. Pennock, Dominik Peters, and Bo
Waggoner. In Proceedings of the Thirty-Fourth AAAI Conference
on Artificial Intelligence (AAAI-20), New York, NY,
2020. Full version.
2019
-
Algorithmically Driven Shared
Ownership Economies.
Vincent Conitzer and Rupert
Freeman. Appears as a chapter in Future of Economic Design,
Springer, 2019.
-
Equitable Allocations of Indivisible
Goods. Rupert Freeman, Sujoy Sikdar, Rohit Vaish, and Lirong Xia. In Proceedings of
the Twenty-Eighth International Joint Conference on Artificial Intelligence
(IJCAI-19), Macao, China,
2019. Full version.
-
Truthful Aggregation of Budget
Proposals. Rupert Freeman, David M. Pennock, Dominik Peters, and Jennifer Wortman
Vaughan. In Proceedings of
the Twentieth ACM Conference on Economics and Computation (EC-19),
Pheonix, AZ,
2019. Full version.
-
Group Fairness for the
Allocation of Indivisible Goods. Vincent Conitzer, Rupert Freeman, Nisarg Shah, and Jennifer Wortman
Vaughan. In Proceedings of
the Thirty-Third AAAI Conference on Artificial Intelligence
(AAAI-19), Honolulu, HI,
2019. Full version.
-
An Equivalence
Between Wagering and Fair-Division Mechanisms. Rupert Freeman, David M. Pennock, and Jennifer Wortman Vaughan. In Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence
(AAAI-19), Honolulu, HI,
2019. Full version.
2018
-
An
Axiomatic View of the Parimutuel Consensus Mechanism. Rupert Freeman and David M. Pennock. In Proceedings of the Twenty-Seventh
International Joint Conference on Artificial Intelligence
(IJCAI-18), Stockholm, Sweden, 2018. Full version.
-
Dynamic Proportional Sharing: A Game-Theoretic
Approach. Rupert Freeman*, Seyed Majid Zahedi*, Vincent
Conitzer, and Benjamin Lee (* Co-first authors). In Proceedings of the ACM SIGMETRICS
International Conference on Measurement and Modeling of Computer Systems, Irvine, CA,
2018.
-
Incentive-Compatible
Forecasting Competitions. Jens Witkowski, Rupert Freeman, Jennifer Wortman Vaughan, David M. Pennock,
and Andreas Krause. In Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence
(AAAI-18), New Orleans, LA, 2018.
2017
-
Fair and Efficient Social Choice in
Dynamic Settings. Rupert Freeman, Seyed Majid Zahedi, and Vincent
Conitzer. In Proceedings of the Twenty-Sixth
International Joint Conference on Artificial Intelligence
(IJCAI-17), Melbourne, Australia, 2017. Full version.
-
Fair Public Decision
Making. Vincent Conitzer, Rupert Freeman, and Nisarg
Shah. In Proceedings of the 18th ACM Conference on
Economics and Computation (EC-17), Cambridge, MA, USA,
2017. Full version.
-
The Double
Clinching Auction for Wagering. Rupert Freeman, David M. Pennock, and Jennifer
Wortman Vaughan. In Proceedings of the
18th ACM Conference on Economics and Computation (EC-17),
Cambridge, MA, USA, 2017. Full version.
-
Crowdsourced Outcome Determination in Prediction Markets. Rupert Freeman, Sebastien Lahaie, and David M. Pennock. In Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence (AAAI-17), San Francisco, CA, USA, 2017. Full version.
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Phragmen's Voting Methods and Justified Representation. Markus Brill, Rupert Freeman, Svante Janson, and Martin Lackner. In Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence (AAAI-17), San Francisco, CA, USA, 2017.
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Justified Representation in Approval-Based Committee Voting. Haris Aziz, Markus Brill, Vincent Conitzer, Edith Elkind, Rupert Freeman, and Toby Walsh. In Social Choice and Welfare. (Supercedes the AAAI-15 version below.)
2016
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On the Price of Stability of Undirected Multicast Games. Rupert Freeman, Sam Haney, and Debmalya Panigrahi. In Proceedings of the Twelfth Conference on Web and Internet Economics (WINE-16), Montreal, Canada, 2016. Full version.
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Signaling in Bayesian Stackelberg Games. Haifeng Xu, Rupert Freeman, Vincent Conitzer, Shaddin Dughmi, and Milind Tambe. In Proceedings of the Fifteenth International Joint Conference on Autonomous Agents and Multi Agent Systems (AAMAS-16), Singapore, 2016. Full version.
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False-Name-Proof Recommendations in Social Networks. Markus Brill, Vincent Conitzer, Rupert Freeman, and Nisarg Shah. In Proceedings of the Fifteenth International Joint Conference on Autonomous Agents and Multi Agent Systems (AAMAS-16), Singapore, 2016. Full version.
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Rules for Choosing Societal Tradeoffs. Vincent Conitzer, Rupert Freeman, Markus Brill, and Yuqian Li. In Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence (AAAI-16), Phoenix, AZ, 2016.
-
Computing Possible and Necessary Equilibrium
Actions (and Bipartisan Set Winners). Markus Brill, Rupert Freeman, and Vincent
Conitzer. In Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence (AAAI-16), Phoenix, AZ, 2016.
2015
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General Tiebreaking Schemes for Computational
Social Choice. Rupert Freeman, Markus Brill, and Vincent
Conitzer. In Proceedings of the Fourteenth International Joint Conference on Autonomous Agents and Multi Agent Systems (AAMAS-15), Istanbul, Turkey, 2015.
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Crowdsourcing Societal Tradeoffs. Vincent Conitzer, Markus Brill, and Rupert Freeman. In Proceedings of the Fourteenth International Joint Conference on Autonomous Agents and Multi Agent Systems (AAMAS-15) Blue Sky Ideas track, Istanbul, Turkey, 2015.
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Justified Representation in Approval-Based
Committee Voting. Haris Aziz, Markus Brill, Vincent Conitzer, Edith Elkind, Rupert Freeman, and Toby Walsh. In Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence (AAAI-15), Austin, TX, 2015.
2014
