Economics and Computation

Core economics, game theory and recommendation systems

We are working in several areas from core economics and game theory, including empirical economics and theoretical economics, to algorithmic economics, algorithmic game theory, recommendation systems and the theory of social choice.



Shipra Agrawal and Nikhil R. Devanur, Bandits with concave rewards and convex knapsacks, in To appear in EC 2014, ACM conference on Economics and Computation, June 2014

Leon Bottou, Jonas Peters, Joaquin Quiñonero-Candela, Denis X. Charles, D. Max Chickering, Elon Portugaly, Dipankar Ray, Patrice Simard, and Ed Snelson, Counterfactual Reasoning and Learning Systems: The Example of Computational Advertising, in Journal of Machine Learning Research, vol. 14, no. Nov, pp. 3207–3260, Journal of Machine Learning Research, November 2013

Brendan Lucier, Ishai Menache, Joseph Naor, and Jonathan Yaniv, Efficient Online Scheduling for Deadline-Sensitive Batch Computing, in SPAA, July 2013

Yuezhou Lv and Thomas Moscibroda, Fair and Resilient Incentive Tree Mechanisms, in 32nd Annual ACM Symposium on Principles of Distributed Computing (PODC), ACM, July 2013

Mahyar Salek, Yoram Bachrach, and Peter Key, Hotspotting – A Probabilistic Graphical Model For Image Object Localization, in AAAI-13, AAAI, July 2013

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