2021
Fair Dynamic Rationing
Manshadi V, Niazadeh R, Rodilitz S. Fair Dynamic Rationing. 2021, 694-695. DOI: 10.1145/3465456.3467554.Peer-Reviewed Original ResearchMinimum fill rateSequence of demandsValue-to-goAdaptation policiesDemand-to-supply ratioCorrelated demandsEmergency Management AgencyFederal Emergency Management AgencySocial plannerDynamic rationalityAlternative objective functionsWhite HouseSocial goodConditional momentsEquityManagement agenciesLower-bound functionsPolicyFairness guaranteesTheoretical guaranteesEfficient rationingFilling ratePerformance guaranteesTheoretical developmentsDistributed knowledgeLearning Product Rankings Robust to Fake Users
Golrezaei N, Manshadi V, Schneider J, Sekar S. Learning Product Rankings Robust to Fake Users. 2021, 560-561. DOI: 10.1145/3465456.3467580.Peer-Reviewed Original ResearchFake usersLearning algorithmsSub-optimal rankingsEfficient learning algorithmNew learning algorithmsCustomer actionsImplementing multiple levelsFraudulent behaviorFraudulent usersPerformance guaranteesIncurring large costsOptimal rankingOnline platformsUsersPairwise relationshipsClick farmingAlgorithmRanking robustnessProduct rankingInformation environmentCross-learningEfficient convergencePlatformLearningLearning process
2007
Efficient, fully local algorithms for CIOQ switches
Firoozshahian A, Manshadi V, Goel A, Prabhakar B. Efficient, fully local algorithms for CIOQ switches. 2007, 2491-2495. DOI: 10.1109/infcom.2007.307.Peer-Reviewed Original Research