MetaLearningforSupportRecoveryinHigh-dimensionalPrecisionMatrixEstimationQianZhang1YilinZheng2JeanHonorio2Abstract1.IntroductionInthispaper,westudymetalearningforsup-Precision(orinversecovariance)m...
FeatureClusteringforSupportIdentificationinExtremeRegionsHamidJalalzai12Re´miLeluc1Abstractseveralrecentstudies:inanomalydetection(Roberts,1999;Cliftonetal.,2011;Goixetal.,2016;Thomasetal.,2017),U...
APrecisePerformanceAnalysisofSupportVectorRegressionHoussemSifaou1AblaKammoun1Mohamed-SlimAlouini1AbstractofNakkiranetal.(Nakkiranetal.,2020a;b)indicatesthatmoredatamayharmtheperformance.Onepotenti...
Near-TightMargin-BasedGeneralizationBoundsforSupportVectorMachinesAllanGrønlund1LiorKamma1KasperGreenLarsen1AbstractmarginSVM.SupportVectorMachines(SVMs)areamongtheminw2mostfundamentaltoolsforbina...
LearningRepresentationsthatSupportExtrapolationTaylorW.Webb1ZacharyDulberg2StevenM.Frankland2AlexanderA.Petrov3RandallC.O’Reilly4JonathanD.Cohen2AbstractHolyoak,2012).Extrapolation–theabilitytoma...
ScalingUpSparseSupportVectorMachinesbySimultaneousFeatureandSampleReductionWeizhongZhang12BinHong13WeiLiu2JiepingYe3DengCai1XiaofeiHe1JieWang3Abstracttionandvariableselectionby1-normpenalty.Thelast...
OntheIterationComplexityofSupportRecoveryviaHardThresholdingPursuitJieShen1PingLi1Abstract2010;Blumensath&Davies,2009;Bouchotetal.,2016).RecoveringtheSupportofasparsesignalfromComparedtoparameteres...
KernelizedSupportTensorMachinesLifangHe1Chun-TaLu1GuixiangMa1ShenWang1LinlinShen2PhilipS.Yu13AnnB.Ragin4Abstractthislearningframework,severaltensor-basedlinearmod-els(Zhouetal.,2013;Haoetal.,2013)h...