ProvablyEnd-to-endLabel-noiseLearningwithoutAnchorPointsXuefengLi12TongliangLiu2BoHan3GangNiu4MasashiSugiyama45Abstract(Arpitetal.,2017;Zhangetal.,2017;Xiaetal.,2021;Wuetal.,2021).Inlabel-noiselear...
ClusterabilityasanAlternativetoAnchorPointsWhenLearningwithNoisyLabelsZhaoweiZhu1YiwenSong2YangLiu1AbstractparameterizedDNNs(Xiaetal.,2021;Hanetal.,2020),andleadtounexpectedanddisparateimpacts(Liu,...
TheComplexityofFindingStationaryPointswithStochasticGradientDescentYoelDrori1OhadShamir12Abstractisnottominimizef(x)overx,butrather∇f(x).ThisquestionoffindingstationaryPointshasgainedmoreatten-Wes...
ExplainingGroupsofPointsinLow-DimensionalRepresentationsGregoryPlumb1JonathanTerhorst2SriramSankararaman3AmeetTalwalkar14AbstractFigure1:Arepresentationlearnedforasingle-cellRNAsequencedatasetusing...
ComplexityofFindingStationaryPointsofNonsmoothNonconvexFunctionsJingzhaoZhang1HongzhouLin1StefanieJegelka1SuvritSra1AliJadbabaie1AbstractTable1.Whentheproblemisnonconvexandnonsmooth,find-inga-stati...
EscapingSaddlePointswithAdaptiveGradientMethodsMatthewStaib12SashankReddi3SatyenKale3SanjivKumar3SuvritSra1AbstractAdagradupdatestheparametersinthefollowingmanner:AdaptivemethodssuchasAdamandRMSPro...
SteinPointsWilsonYeChen1LesterMackey2JacksonGorham3Franc¸ois-XavierBriol456Chris.J.Oates76Abstractareextensivelyusedforthistaskbutsuffer(intermsofaccuracy)from‘clustering’ofthePoints{xi}ni=1when...