Don’tJustBlameOver-parametrizationforOver-confidence:TheoreticalAnalysisofCalibrationinBinaryClassificationYuBai1SongMei2HuanWang1CaimingXiong1AbstractWideResNetonImageNetRealizableLogisticRegress...
OntheTheoreticalPropertiesoftheNetworkJackknifeQiaohuiLin1RobertLunde1PurnamritaSarkar1Abstractetal.,2017;Gonenetal.,2010;Kallaugheretal.,2019).However,comparativelylittleattentionhasbeenpaidtoWest...
KernelNormalizedCut:aTheoreticalRevisitYoshikazuTerada12MichioYamamoto32Abstractanunknownunderlyingdistribution,calledthepopulationdistribution.Inthissetting,asmentionedinvonLuxburgInthispaper,west...
ATheoreticalAnalysisofContrastiveUnsupervisedRepresentationLearningSanjeevArora12HrishikeshKhandeparkar1MikhailKhodak3OrestisPlevrakis1NikunjSaunshi1AbstractForimages,aproofofexistenceforbroadlyuse...
WhydoLargerModelsGeneralizeBetter?ATheoreticalPerspectiveviatheXORProblemAlonBrutzkus1AmirGloberson1AbstractwithN2>N1neuronsachievezerotrainingerror,butthelargernetworkhasbettertesterror.Thissomewh...
TheoreticalAnalysisofSparseSubspaceClusteringwithMissingEntriesManolisC.Tsakiris1Rene´Vidal2Abstractfoundnumerousapplicationsinmachinelearning,com-putervision,patternrecognition,bioinformaticsands...
TheoreticalAnalysisofImage-to-ImageTranslationwithAdversarialLearningXudongPan1MiZhang1DaizongDing1Abstractagenerator(i.e.anadaptivemodelthatmapsagaussiannoisetoafakesample)andadiscriminator(i.e.an...
ASimpleMulti-ClassBoostingFrameworkwithTheoreticalGuaranteesandEmpiricalProficiencyRonAppel1PietroPerona1Abstract(a)Old:DecisionStumps(b)New:LocalizedSimilaritiesThereisaneedforsimpleyetaccuratewhi...
TheoreticalPropertiesforNeuralNetworkswithWeightMatricesofLowDisplacementRankLiangZhao1SiyuLiao1YanzhiWang2ZheLi2JianTang2BoYuan1AbstractFigure1.ExamplesofcommonlyusedLDR(structured)matri-ces,i.e.,...