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.
Publications
Journal Publications
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An Equivalence Between Fair Division and Wagering Mechanisms. Rupert Freeman*, Jens Witkowski*, Jennifer Wortman Vaughan, and David M.
Pennock (*Equal contribution). Forthcoming in Management Science. (supersedes the AAAI-19 version below.) Paper
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Best of Both Worlds: Ex Ante and Ex Post Fairness in Resource Allocation. Haris Aziz, Rupert Freeman, Nisarg Shah,
and Rohit Vaish. In Operations Research, Volume 72, Issue 4, pp. 1674-1688, July-August 2024. (Mostly supersedes the EC-20 version below.) Paper
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Phragmén's Voting Methods and Justified Representation. Markus Brill, Rupert Freeman, Svante Janson, and Martin Lackner. In Mathematical Programming, Volume 203, Issue 1-2, pp. 47-76, January 2024. (supersedes the AAAI-17 version below.) arXiv
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Incentive-Compatible Forecasting Competitions. Jens Witkowski, Rupert Freeman, Jennifer Wortman Vaughan, David M.
Pennock,
and Andreas Krause. In Management Science, Volume 69, Issue 3, pp. 1354-1374, March 2023. (supersedes the AAAI-18 version below.)
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Truthful Aggregation of Budget
Proposals. Rupert Freeman, David M. Pennock, Dominik Peters, and Jennifer Wortman
Vaughan. In Journal of Economic Theory, Vol 193, 2021. (supersedes the EC-19 version below.) arXiv
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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, Volume 48, Issue 2, pp. 461-485, February 2017. (supersedes the AAAI-15 version below.)
Conference Publications
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Truthful Budget Aggregation: Beyond Moving-Phantom Mechanisms. Mark de Berg, Rupert Freeman, Ulrike Schmidt-Kraepelin, Markus Utke. To appear in Proceedings of the 20th Conference on Web and Internet Economics
(WINE-24), Edinburgh, UK, 2024.
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Harm Ratio: A Novel and Versatile Fairness Criterion. Soroush Ebadian, Rupert Freeman and Nisarg Shah. To appear in Proceedings of 4th ACM Conference on Equity and Access in Algorithms, Mechanisms, and Optimization (EAAMO-24), San Luis Potosi, Mexico, 2024.
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Project-Fair and Truthful Mechanisms for Budget Aggregation. Rupert Freeman and Ulrike Schmidt-Kraepelin. In Proceedings of the Thirty-Eighth AAAI Conference
on Artificial Intelligence (AAAI-24), Vancouver, Canada, 2024.
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Efficient Resource Allocation with Secretive Agents. Soroush Ebadian, Rupert Freeman,
and Nisarg Shah. In Proceedings of the Thirtieth International Joint Conference on Artificial
Intelligence (IJCAI-22), Vienna, Austria, 2022.
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Two-Sided Matching Meets Fair Division. Rupert Freeman, Evi Micha,
and Nisarg Shah. In Proceedings of the Thirtieth International Joint Conference on Artificial
Intelligence (IJCAI-21), virtual, 2021. Full version.
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Towards a Theory of Confidence in Market-Based Predictions. Rupert Freeman,
David M. Pennock, Daniel M. Reeves, David Rothschild, and Bo Waggoner. In Proceedings of the Twelth
International Symposium on Imprecise Probabilities: Theories and Applications (ISIPTA-21), Granada,
Spain.
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No-Regret and Incentive-Compatible
Online Learning. Rupert Freeman, David M. Pennock, Chara Podimata, and Jennifer Wortman
Vaughan. In Proceedings of the Thirty-Seventh International
Conference on Machine Learning (ICML-20).
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Best of Both Worlds: Ex-Ante and Ex-Post Fairness in Resource
Allocation. Rupert Freeman, Nisarg Shah, and
Rohit Vaish. In Proceedings of the Twenty-First ACM Conference
on Economics and Computation
(EC-20). Full version. (Mostly superseded by the Operations Research version above.)
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Proportionality in Approval-Based Elections With a
Variable Number of Winners. Rupert Freeman, Anson Kahng, and David
M. Pennock. In Proceedings of the Twenty-Ninth International
Joint Conference on Artificial Intelligence (IJCAI-20), Yokohama,
Japan, 2020. Full version.
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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.
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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.
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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.
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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. (superseded by the JET version above.)
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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.
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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.
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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.
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Dynamic Proportional Sharing: A Game-Theoretic
Approach. Rupert Freeman*, Seyed Majid Zahedi*, Vincent
Conitzer, and Benjamin Lee (*Equal contribution). In Proceedings of the ACM SIGMETRICS
International Conference on Measurement and Modeling of Computer Systems, Irvine, CA,
2018.
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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. (superseded by the Management Science version above.)
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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.
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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.
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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.
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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. (superseded by the Mathematical Programming version above.)
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On the Price of Stability of Undirected Multicast Games. Rupert Freeman, Sam
Haney, and Debmalya Panigrahi. In Proceedings of the 12th 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.
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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.
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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. (superseded by the SCW version above.)
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On the Axiomatic Characterization of
Runoff Voting Rules. Rupert Freeman, Markus Brill, and Vincent
Conitzer. In Proceedings of the Twenty-Eighth AAAI
Conference on Artificial Intelligence (AAAI-14), pp. 675-681, Quebec
City, Canada, 2014.
Other Publications