Publications

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Friedman, E., Landsberg A. S., Owen J., Hsieh W., Kam L., & Mukherjee P. (2016).  Edge correlations in spatial networks. Journal of Complex Networks. 1-14.
Friedman, E., Young K., Asif D., Jutla I., Liang M., Wilson S., et al. (2014).  Directed Progression Brain Networks in Alzheimer's Disease: Properties and Classification. Brain Connectivity. 4(5), 384-393.
Friedman, E., Young K., Tremper G., Liang J., Landsberg A. S., & Schuff N. (2015).  Directed Network Motifs in Alzheimer’s Disease and Mild Cognitive Impairment. PLoS ONE.
Friedman, E., Ghodsi A., & Psomas C-A. (2014).  Strategyproof Allocation of Discrete Jobs on Multiple Machines. 529-546.
Friedman, E., Psomas C-A., & Vardi S. (2015).  Pareto Optimal Dynamic Fair Division with Minimal Disruptions.
Friedman, E. (2012).  Asymmetric Cost Sharing Mechanisms. Games and Economic Behavior. 75(1), 139-151.
Friedman, E., Racz M. Z., & Shenker S. J. (2015).  Dynamic Budget-Constrained Pricing in the Cloud.
Friedman, E., Shor M.., Shenker S. J., & Sopher B.. (2004).  An Experiment on Learning with Limited Information: Nonconvergence, Experimentation Cascades, and the Advantage of Being Slow. Games and Economic Behavior. 47(2), 325-352.
Friedman, E. J., Gkatzelis V., Psomas C-A., & Shenker S. J. (2019).  Fair and Efficient Memory Sharing: Confronting Free Riders. Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence.
Friedman, E., Landsberg A. S., Owen J. P., Li Y-O., & Mukherjee P. (2014).  Stochastic Geometric Network Models for Groups of Functional and Structural Connectomes. NeuroImage. 101,