SparseConvexOptimizationviaAdaptivelyRegularizedHardThresholdingKyriakosAxiotis1MaximSviridenko2Abstractlution(itsnumberofnon-zeroentries).Variantsandspecialcasesofthisproblemhavebeenstudiedformany...
SparseGaussianProcesseswithSphericalHarmonicFeaturesVincentDutordoir1NicolasDurrande1JamesHensman2AbstractyWeintroduceanewclassofinter-domainvari-biasationalGaussianprocesses(GP)wheredataismappedon...
ScalableDeepGenerativeModelingforSparseGraphsHanjunDai1AzadeNazi1YujiaLi2BoDai1DaleSchuurmans1AbstractClassicalgenerativemodelsofgraphs,basedonrandomgraphtheory(Erdo˝s&Re´nyi,1960;Baraba´si&Albe...
RecoveryofSparseSignalsfromaMixtureofLinearSamplesAryaMazumdar1SoumyabrataPal1AbstractWewillrefertothevaluesreturnedbytheoraclegiventhesequeriesassamples.Mixtureoflinearregressionsisapopularlearnin...
LP-SparseMAP:DifferentiableRelaxedOptimizationforSparseStructuredPredictionVladNiculae1AndréF.T.Martins123AbstractsleeptheclockaroundBUDGETfactorTREEfactorStructuredpredictorsrequiresolvingacombin...
GeneralizedandScalableOptimalSparseDecisionTreesJimmyLin1ChudiZhong2DianeHu2CynthiaRudin2MargoSeltzer1Abstractisthattheytendtoproducesuboptimaltreeswithnowayofknowinghowsuboptimalthesolutionis.This...
GeneralizationGuaranteesforSparseKernelApproximationwithEntropicOptimalFeaturesLiangDing1RuiTuo1ShahinShahrampour1AbstractSupportVectorMachines(SVM)).Despitetheirsuccess,kernelmethodssufferfromInth...
FractalGaussianNetworks:ASparserandomgraphmodelbasedonGaussianMultiplicativeChaosSubhroshekharGhosh1KrishnakumarBalasubramanian2XiaochuanYang3Abstractubiquityofstatisticalnetworkmodelsinthemodernap...
FindingtrainableSparsenetworksthroughNeuralTangentTransferTianlinLiu12FriedemannZenke1Abstract2017).Tothisdate,mostofthestudiesonSparseartificialneuralnetworkshavefocusedonposthocpruning,wherebyDee...
ConvergenceRatesofVariationalInferenceinSparseDeepLearningBadr-EddineChérief-Abdellatif1AbstractModernapproximateinferencemainlyreliesonvariationalinference(VI),withsometimesaflavorofsamplingtech-...
VariationalInferenceofSparseNetworkfromCountDataJulienChiquet1MahendraMariadassou2Ste´phaneRobin1Abstractoreticalgroundingsforcapturingconditionaldependencerelationshipsbetweennodes:iandjarelinked...
SparseMulti-ChannelVariationalAutoencoderfortheJointAnalysisofHeterogeneousDataLuigiAntelmi1NicholasAyache1PhilippeRobert23MarcoLorenzi1fortheAlzheimer’sDiseaseNeuroimagingInitiativeAbstract1.Intr...
SparseExtremeMulti-labelLearningwithOraclePropertyWeiweiLiu1XiaoboShen2Abstractdingapproaches(Hsuetal.,2009;Yuetal.,2014;Prabhu&Varma,2014;Liu&Tsang,2015a;Bhatiaetal.,2015;ThepioneeringworkofSparse...
ScreeningRulesforLassowithNon-ConvexSparseRegularizersAlainRakotomamonjy12GillesGasso1JosephSalmon3AbstractWhiletheLassohashadagreatimpactonmachinelearn-ingandsignalprocessingcommunitiesgivensomesu...
RatesofConvergenceforSparseVariationalGaussianProcessRegressionDavidR.Burt1CarlEdwardRasmussen12MarkvanderWilk2AbstractWhilethecomputationalcostofaddinginducingvariablesiswellunderstood,resultsonho...
OnSparseLinearRegressionintheLocalDifferentialPrivacyModelDiWang1JinhuiXu1Abstractsciences(Marascuilo&Serlin,1988),genomicsresearch(Bu˘žková,2013)andsignalrecovery(Bühlmann&VanInthispaper,westu...
LearningtoGeneralizefromSparseandUnderspecifiedRewardsRishabhAgarwal1ChenLiang1DaleSchuurmans12MohammadNorouzi1AbstractRankNationGoldSilverx=“Whichnationwonthemost1USA1012silvermedal?”Weconsidert...
Large-ScaleSparseKernelCanonicalCorrelationAnalysisViiviUurtio12SahelyBhadra3JuhoRousu12Abstract&Livescu,2016;Uurtioetal.,2018a)anddeeplearning(Andrewetal.,2013).TheadvantagesofkernelizingtheThispa...
TheoreticalAnalysisofSparseSubspaceClusteringwithMissingEntriesManolisC.Tsakiris1Rene´Vidal2Abstractfoundnumerousapplicationsinmachinelearning,com-putervision,patternrecognition,bioinformaticsands...
SparseMAP:DifferentiableSparseStructuredInferenceVladNiculae1AndréF.T.Martins2MathieuBlondel3ClaireCardie1Abstract⋆StructuredpredictionrequiressearchingoveraargmaxMarginalMAPcombinatorialnumberof...