SlicedIterativeNormalizingFlowsBiweiDai1UrošSeljak12Abstractmodelsusuallyparameterizethemappingusingneuralnet-works,andthetrainingofthesemodelstypicallyconsistsWedevelopaniterative(greedy)deeplear...
Run-Sort-ReRun:EscapingBatchSizeLimitationsinSlicedWassersteinGenerativeModelsJose´Lezama1WeiChen2QiangQiu2Abstract2017;Lietal.,2017;Mrouehetal.,2017;Heuseletal.,2017;Deshpandeetal.,2018).However,...
DifferentiallyPrivateSlicedWassersteinDistanceAlainRakotomamonjy12LivaRalaivola1AbstracttinousadvancesmadeinMachineLearning(ML).How-ever,asethicalandregulatoryconcernsbecomeprominentDevelopingmachi...
ActiveSlicesforSlicedSteinDiscrepancyWenboGong1KaiboZhang1YingzhenLi2Jose´MiguelHerna´ndez-Lobato1Abstracttumetal.,2017;Gorham&Mackey,2017)andmodellearn-ing(Liu&Wang,2016;Puetal.,2017;Huetal.,201...
SlicedWassersteinKernelforPersistenceDiagramsMathieuCarrie`re1MarcoCuturi2SteveOudot1Abstractafew.ThetoolsdevelopedinTDAarebuiltuponpersis-tenthomologytheory(Edelsbrunner&Harer,2010;Oudot,Persisten...