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We study a very general class of games --- multi-dimensional aggregative games --- which in particular generalize both anonymous games and weighted congestion games.
Optimal auction design
Roger B Myerson · 1981
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Efficient Nash computation in large population games with bounded influence
Michael Kearns and Yishay Mansour · 2002
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k-Implementation
Dov Monderer and Moshe Tennenholtz · 2003
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Large robust games
Ehud Kalai · 2004
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Calibrating noise to sensitivity in private data analysis
Cynthia Dwork, Frank McSherry, Kobbi Nissim, and Adam Smith · 2006
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Is privacy compatible with truthfulness?
David Xiao · 2006
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Mechanism design via differential privacy
Frank McSherry and Kunal Talwar · 2007
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Discretized multinomial distributions and Nash equilibria in anonymous games
Constantinos Daskalakis and Christos H. Papadimitriou · 2008
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Mediators in position auctions
Itai Ashlagi, Dov Monderer, and Moshe Tennenholtz · 2009
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On the complexity of differentially private data release: Efficient algorithms and hardness results
Cynthia Dwork, Moni Naor, Omer Reingold, Guy N. Rothblum, and Salil Vadhan · 2009
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Strong mediated equilibrium
Dov Monderer and Moshe Tennenholtz · 2009
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A new understanding of prediction markets via no-regret learning
Yiling Chen and Jennifer Wortman Vaughan · 2010
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Boosting and differential privacy
Cynthia Dwork, Guy N. Rothblum, and Salil Vadhan · 2010
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A multiplicative weights mechanism for privacy-preserving data analysis
Moritz Hardt and Guy N. Rothblum · 2010
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Tanmoy Chakraborty and Michael Kearns · 2011
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The multiplicative weights update method: a meta-algorithm and applications
Sanjeev Arora, Elad Hazan, and Satyen Kale · 2012
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Truthful mechanisms for agents that value privacy
Yiling Chen, Stephen Chong, Ian A Kash, Tal Moran, and Salil Vadhan · 2013
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Privacy and coordination: Computing on databases with endogenous participation
Arpita Ghosh and Katrina Ligett · 2013
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Privacy and mechanism design
Mallesh M Pai and Aaron Roth · 2013
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Privacy-preserving public information for sequential games
Avrim Blum, Jamie Morgenstern, Ankit Sharma, and Adam Smith · 2014
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On the complexity of nash equilibria in anonymous games
Xi Chen, David Durfee, and Anthi Orfanou · 2014
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The algorithmic foundations of differential privacy
Cynthia Dwork and Aaron Roth · 2014
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Strategyproofness in the large as a desideratum for market design
Eduardo M Azevedo and Eric Budish · 2012
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Lipschitz games
Yaron Azrieli and Eran Shmaya · 2013
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Best-reply dynamic in large aggregative games
Yakov Babichenko · 2013
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Private matchings and allocations
Justin Hsu, Zhiyi Huang, Aaron Roth, Tim Roughgarden, and Zhiwei Steven Wu
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Privately solving linear programs
Justin Hsu, Aaron Roth, Tim Roughgarden, and Jonathan Ullman
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Privacy-aware mechanism design
Kobbi Nissim, Claudio Orlandi, and Rann Smorodinsky
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Mechanism design in large games: Incentives and privacy
Michael Kearns, Mallesh Pai, Aaron Roth, and Jonathan Ullman · 2014
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Asymptotically truthful equilibrium selection in large congestion games
Ryan M. Rogers and Aaron Roth · 2014
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Approximately stable, school optimal, and student-truthful many-to-one matchings (via differential privacy)
Sampath Kannan, Jamie Morgenstern, Aaron Roth, and Zhiwei Steven Wu · 2015
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