Non-ExponentiallyWeightedAggregation:RegretBoundsforUnboundedLossFunctionsPierreAlquier1Abstractthesub-g√radientoftcanbeused.SuchstrategiesleadtoregretinTundertheadditionalassumptionthatthetareWet...
DifferentiallyPrivateAggregationintheShuffleModel:AlmostCentralAccuracyinAlmostaSingleMessageBadihGhazi1RaviKumar1PasinManurangsi1RasmusPagh21AmerSinha3Abstractwithextensionsincluding(private)distr...
Cross-GradientAggregationforDecentralizedLearningfromNon-IIDDataYasamanEsfandiari1SinYongTan1ZhanhongJiang2AdityaBalu1EthanHerron1ChinmayHegde3SoumikSarkar1AbstractFigure1.Algorithmoverview.Inthepr...
BackpropagatedNeighborhoodAggregationforAccurateTrainingofSpikingNeuralNetworksYukunYang1WenruiZhang1PengLi1Abstractetal.,2014;Daviesetal.,2018).WhilerecentSNNresearchadvanceshaveledtoimprovedperfo...
RankAggregationfromPairwiseComparisonsinthePresenceofAdversarialCorruptionsArpitAgarwal1ShivaniAgarwal1SanjeevKhanna1PrathameshPatil1Abstract1.IntroductionRankAggregationfrompairwisepreferenceshasT...
PredictingChoicewithSet-DependentAggregationNirRosenfeld1KojinOshiba1YaronSinger1Abstractofitemss={x(1),...,x(n)},x(i)∈X=Rd,calledthechoiceset,withs∈S⊆2X.Fromthealternativesins,theProvidingusers...
DomainAggregationNetworksforMulti-SourceDomainAdaptationJunfengWen1RussGreiner1DaleSchuurmans12AbstractToaddressthisproblem,researchershavebeenexploringmethodsoftransferlearning(Pan&Yang,2009)ordo-...
AggregationofMultipleKnockoffsTuan-BinhNguyen12Je´roˆme-AlexisChevalier2BertrandThirion2SylvainArlot1Abstractornot;ii)itrequiresagoodgenerativemodelforfeatures,butposesfewconditionsforthevalidity...
ExploitingWorkerCorrelationforLabelAggregationinCrowdsourcingYuanLi1BenjaminI.P.Rubinstein1TrevorCohn1Abstractequalvotestowardsconsensus.Numerousprobabilisticmodelshaveemergedthatparameteriseworker...
ActiveLearningforTop-KRankAggregationfromNoisyComparisonsSoheilMohajer1ChanghoSuh2AdelElmahdy1Abstractcantitems,saytop-K,areoftendesiredtoberetrieved.Weexploreanactivetop-KrankingproblemInaneffortt...