I mainly work on design of mechanisms for group decision-making that achieve desirable system-level objectives even when individuals are self-interested -- for instance, coordinating and incentivizing a group of selfish agents to compute and implement a decision policy that maximizes social reward. My dissertation focused on 1) dynamic mechanism design: engineering solutions for sequential decision-making environments, where both the computational challenges of determining optimal policies and the incentive challenges of implementing them in equilibrium are significant, and 2) redistribution mechanisms, which improve on the social welfare properties of classic solutions via special ways of returning "revenue" to participants in a mechanism.
Overview documents:
-|- A detailed research
statement (November 2011).
-|- Mechanism Design for Dynamic Settings. Ruggiero Cavallo. A
letter in ACM SIGecom Exchanges, Vol. 8, No. 2, December, 2009. pdf
Dissertation:
-|-
Social Welfare Maximization in Dynamic Strategic Decision
Problems. Ruggiero Cavallo. Ph.D. thesis, Harvard University, May, 2008.
link
Selected papers:
-|- Improving Allocations Through Revenue Redistribution in
Auctions with Entry. Ruggiero Cavallo. The Second Conference on Auctions,
Market Mechanisms and Their Applications (AMMA '11), New York, NY, 2011.
(working paper draft pdf)
-|- Incentives in Group Decision-Making With Uncertainty and
Subjective Beliefs. Ruggiero Cavallo. Conference on Uncertainty and
Artificial Intelligence (UAI '11), Barcelona, Spain, 2011. pdf
-|- Efficient Mechanisms with Risky Participation. Ruggiero
Cavallo. In Proceedings of the 22nd International Joint Conference on
Artificial Intelligence (IJCAI '11), Barcelona, Spain, pages 133-138, 2011.
pdf
-|- Efficient Mechanisms with Small Subsidies. Ruggiero Cavallo.
In Proceedings of the 9th International Conference on Autonomous Agents and
Multiagent Systems (AAMAS '10), Toronto, Canada, pages 1477-1478, 2010. pdf
-|- Efficiency and Redistribution in Dynamic Mechanism Design.
Ruggiero Cavallo. In Proceedings of the 9th ACM conference on Electronic
Commerce (EC '08), Chicago, IL, pages 220-229, 2008.
pdf
-|- Efficient Metadeliberation Auctions. Ruggiero Cavallo and David
C. Parkes. In Proceedings of the 23th Annual Conference on Artificial
Intelligence (AAAI '08), Chicago, IL, pages 50-56, 2008.
pdf
-|- Efficient Mechanisms with Dynamic Populations and Dynamic
Types. Ruggiero Cavallo, David C. Parkes, and Satinder Singh. Harvard
University Technical Report. pdf
-|- Handling Self-Interest in Groups, with Minimal Cost. Ruggiero
Cavallo. In Proc. of the 21st National Conference on Artificial Intelligence
(AAAI '06), Nectar paper track, pages 1585-1588, Boston, MA, 2006. pdf
-|- Optimal Coordinated Planning Amongst Self-Interested Agents
with Private State. Ruggiero Cavallo, David C. Parkes, and Satinder Singh.
In Proceedings of the 22nd Conference on Uncertainty in Artificial
Intelligence (UAI '06), pages 55-62, Cambridge, MA, 2006.
pdf
-|- Optimal Coordination of Loosely-Coupled Self-Interested Robots.
Ruggiero Cavallo, David C. Parkes, and Satinder Singh. In the Workshop on
Auction Mechanisms for Robot Coordination, AAAI '06, Boston, MA,
2006. pdf
-|- Optimal Decision-Making With Minimal Waste: Strategyproof
Redistribution of VCG Payments. Ruggiero Cavallo. In Proceedings of the 5th
International Joint Conference on Autonomous Agents and Multi Agent Systems
(AAMAS '06), Hakodate, Japan, pages 882-889, 2006.
pdf
Nominated for the best student paper award.
[ This version includes minor corrections and an
appendix that did not appear in the original published version.
]
-|- TBBL: A Tree-Based Bidding Language for Iterative Combinatorial
Exchanges. Ruggiero Cavallo, David C. Parkes, Adam Juda, Adam Kirsch, Alex
Kulesza, Sebastien Lahaie, Benjamin Lubin, Loizos Michael, and Jeffrey
Shneidman. IJCAI-05 Multidisciplinary Workshop on Advances in Preference
Handling, Edinburgh, Scotland, 2005.
pdf
-|- ICE: An Iterative Combinatorial Exchange. David C. Parkes,
Ruggiero Cavallo, Nick Elprin, Adam Juda, Sebastien Lahaie, Benjamin Lubin,
Loizos Michael, Jeffrey Shneidman, and Hassan Sultan. In Proceedings of the
6th ACM conference on Electronic Commerce (EC '05), pages 249-258. ACM
Press, 2005.
pdf
PhD advisor: David Parkes
Old research group: econcs
Postdoc advisor: Michael Kearns
My homepage
CV
