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.

Publications

Journal Publications

• 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. (Supercedes the AAAI-19 version below.) Paper
• Best of Both Worlds: Ex Ante and Ex Post Fairness in Resource Allocation. Haris Aziz, Rupert Freeman, Nisarg Shah, and Rohit Vaish. Forthcoming in Operations Research. (Mostly supercedes the EC-20 version below.) Paper
• 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. (Supercedes the AAAI-17 version below.) arXiv
• 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. (Supercedes the AAAI-18 version below.)
• Truthful Aggregation of Budget Proposals. Rupert Freeman, David M. Pennock, Dominik Peters, and Jennifer Wortman Vaughan. In Journal of Economic Theory, Vol 193, 2021. (Supercedes the EC-19 version below.) arXiv
• 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. (Supercedes the AAAI-15 version below.)

Conference Publications

• Project-Fair and Truthful Mechanisms for Budget Aggregation. Rupert Freeman and Ulrike Schmidt-Kraepelin. To appear in Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence (AAAI-24), Vancouver, Canada, 2024.
• 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.
• 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.
• 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.
• 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).
• 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.
• 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.
• 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.
• 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. (Superceded by the JET version above.)
• 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.
• 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 (*Equal contribution). 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. (Superceded by the Management Science version above.)
• 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.
• 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. (Superceded by the Mathematical Programming version above.)
• 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.
• 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.
• 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.
• 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.
• 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.
• 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.
• 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. (Superceded by the SCW version above.)
• 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

• Algorithmically Driven Shared Ownership Economies. Vincent Conitzer and Rupert Freeman. Appears as a chapter in Future of Economic Design, Springer, 2019.