"Wasserstein"的相关文档 - 文库宝

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标签“Wasserstein”的相关文档，共22条

Wasserstein Distributional Normalization For Robust Distributional Certification of Noisy Labeled Data
WassersteinDistributionalNormalizationForRobustDistributionalCertiﬁcationofNoisyLabeledDataSungWooPark1JunseokKwon1AbstractWhilethereareseveralmethodsthatcandealwithnoisy-labeleddata,recentmethods...
of for Robust Wasserstein Distributional
2023-11-16 19:42:241558540.49 KB29
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Scalable Computations of Wasserstein Barycenter via Input Convex Neural Networks
ScalableComputationsofWassersteinBarycenterviaInputConvexNeuralNetworksJiaojiaoFan1AmirhosseinTaghvaei2YongxinChen1Abstractthepastfewyears,ithasfoundapplicationsinseveralma-chinelearningproblems.Fo...
of via Input Wasserstein Scalable
2023-11-16 19:41:419047.67 MB11
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Rethinking Rotated Object Detection with Gaussian Wasserstein Distance Loss
RethinkingRotatedObjectDetectionwithGaussianWassersteinDistanceLossXueYang123JunchiYan12QiMing4WentaoWang1XiaopengZhang3QiTian3AbstractFigure1.ComparisonofthedetectionresultsbetweenSmoothL1loss-bas...
with Gaussian Detection Wasserstein Object
2023-11-16 19:41:335963.18 MB17
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Projection Robust Wasserstein Barycenters
ProjectionRobustWassersteinBarycentersMinhuiHuang1ShiqianMa2LifengLai1AbstractHowever,computingtheWBforasetofprobabilitydis-tributionsisnotoriouslyhard.ThehardnesscomesfromCollectingandaggregatingi...
Robust Projection Wasserstein Barycenters
2023-11-16 19:28:33755749.78 KB16
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First-Order Methods for Wasserstein Distributionally Robust MDP
First-OrderMethodsforWassersteinDistributionallyRobustMDPsJulienGrand-Cle´ment1ChristianKroer1Abstractpolicies,astheyoptimizeonlyfortheworst-casekernelre-alization,withoutincorporatingdistribution...
for Methods Robust Wasserstein Distributionally
2023-11-16 18:38:127522.5 MB8
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Differentially Private Sliced Wasserstein Distance
DifferentiallyPrivateSlicedWassersteinDistanceAlainRakotomamonjy12LivaRalaivola1AbstracttinousadvancesmadeinMachineLearning(ML).How-ever,asethicalandregulatoryconcernsbecomeprominentDevelopingmachi...
Differentially Private Wasserstein Sliced Distance
2023-11-16 18:31:0819731.78 MB7
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A Wasserstein Minimax Framework for Mixed Linear Regression
AWassersteinMinimaxFrameworkforMixedLinearRegressionTheoDiamandis1YoninaC.Eldar2AlirezaFallah1FarzanFarnia1AsumanOzdaglar1Abstractexample,speechdataorgeneticdatamayexhibitaclustereddistributionbase...
for Regression Linear Minimax Wasserstein
2023-11-16 18:00:191148523.71 KB15
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Stronger and Faster Wasserstein Adversarial Attacks
StrongerandFasterWassersteinAdversarialAttacksKaiwenWu12AllenHouzeWang12YaoliangYu12Abstract✏=0.05✏=0.10✏=0.20✏=0.40Deepmodels,whilebeingextremelyﬂexibleand`1accurate,aresurprisinglyvulnerable...
Adversarial and Faster Wasserstein Attacks
2023-11-14 21:46:359911.35 MB20
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Stochastic Optimization for Regularized Wasserstein Estimators
StochasticOptimizationforRegularizedWassersteinEstimatorsMarinBallu1QuentinBerthet2FrancisBach3Abstractcantransportmasswithdistributionmeasureµtoanotherdistributionmeasureν,withminimalglobaltrans...
for Optimization Stochastic Estimators Wasserstein
2023-11-14 21:46:337141.79 MB12
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Principled learning method for Wasserstein distributionally robust optimization with local perturbations
PrincipledLearningMethodforWassersteinDistributionallyRobustOptimizationwithLocalPerturbationsYongchanKwon1WonyoungKim2Joong-HoWon2MyungheeChoPaik2Abstractsothecomputationoftheriskin(1)isimpossible...
Learning for Robust Method Wasserstein
2023-11-14 21:45:551300549.69 KB21
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Bridging the Gap Between f-GANs and Wasserstein GANs
BridgingtheGapBetweenf-GANsandWassersteinGANsJiamingSong1StefanoErmon1AbstractVariousGANlearningprocedureshavebeenproposedfordifferentdiscrepancymeasures.f-GANs(NowozinGenerativeadversarialnetworks...
gap and the Wasserstein Bridging
2023-11-14 21:43:2110572.43 MB23
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The Wasserstein Transform
TheWassersteinTransformFacundoMe´moli12ZaneSmith3ZhengchaoWan1Abstracttanceinformationinordertobothenhancefeatures,suchasclusters,presentinthedata,andtodenoisethedata.AsaWeintroducetheWassersteint...
the Wasserstein Transform
2023-11-13 14:48:477945.85 MB13
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Subspace Robust Wasserstein Distances
SubspaceRobustWassersteinDistancesFranc¸ois-PierrePaty1MarcoCuturi21Abstractdistancescangrowexponentiallyindimension(Dudley,1969;Fournier&Guillin,2015),whichmeansthatanirre-MakingsenseofWasserstei...
Robust Subspace Wasserstein Distances
2023-11-13 14:48:406891.51 MB20
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On the Complexity of Approximating Wasserstein Barycenters
OntheComplexityofApproximatingWassersteinBarycentersAlexeyKroshnin123DarinaDvinskikh41PavelDvurechensky41AlexanderGasnikov512NazariiTupitsa15Ce´sarA.Uribe6Abstractlearningandoptimizationcommunitie...
of Complexity on the Approximating
2023-11-13 14:48:031786533.46 KB14
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Wasserstein Adversarial Examples via Projected Sinkhorn Iterations
WassersteinAdversarialExamplesviaProjectedSinkhornIterationsEricWong1FrankR.Schmidt2J.ZicoKolter34Abstract+∆W=Arapidlygrowingareaofworkhasstudiedtheex-+∆∞=istenceofadversarialexamples,datapoints...
Adversarial via Wasserstein Examples Projected
2023-11-13 14:46:0820041.4 MB3
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Wasserstein of Wasserstein Loss for Learning Generative Models
WassersteinofWassersteinLossforLearningGenerativeModelsYonatanDukler1WuchenLi1AlexTongLin1GuidoMontu´far123AbstractGenerativeAdversarialNetworks(GANs).TheapplicationoftheWassersteinmetrictodeﬁnet...
Learning of for Models Generative
2023-11-13 14:46:081966965.32 KB5
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Stochastic Wasserstein Barycenters
StochasticWassersteinBarycentersSebastianClaici1EdwardChien1JustinSolomon1AbstractsumofsquaredWassersteindistancestotheinputdistribu-Wepresentastochasticalgorithmtocomputethetions(Agueh&Carlier,201...
Stochastic Wasserstein Barycenters
2023-11-13 12:00:4618251.06 MB15
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Policy Optimization as Wasserstein Gradient Flows
PolicyOptimizationasWassersteinGradientFlowsRuiyiZhang1ChangyouChen2ChunyuanLi1LawrenceCarin1Abstractwiththeenvironment.Policyoptimizationisacorecomponentofrein-Astandardtechniqueforpolicylearningi...
Optimization Gradient Policy Wasserstein Flows
2023-11-13 12:00:2619751.66 MB14
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A Simulated Annealing Based Inexact Oracle for Wasserstein Loss Minimization
ASimulatedAnnealingBasedInexactOracleforWassersteinLossMinimizationJianboYe1JamesZ.Wang1JiaLi2Abstractryl(x,·)iscomputedinO(m)time,mbeingthecomplex-ityofoutcomevariablesxory.Thispartofcalculationi...
for Based Wasserstein Oracle Simulated
2023-11-12 20:45:357942.29 MB26
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Wasserstein Generative Adversarial Networks
WassersteinGenerativeAdversarialNetworksMartinArjovsky1SoumithChintala2Le´onBottou12AbstractThetypicalremedyistoaddanoisetermtothemodeldis-tribution.Thisiswhyvirtuallyallgenerativemodelsde-Weintro...
Networks Adversarial Generative Wasserstein
2023-11-12 20:45:3517423.22 MB29
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