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标签“of”的相关文档，共557条

Active Learning for Probabilistic Structured Prediction of Cuts and Matchings
ActiveLearningforProbabilisticStructuredPredictionofCutsandMatchingsSimaBehpour12AnqiLiu3BrianD.Ziebart2AbstractFigure1.Anexampleofabipartitematchinginavideotrackingapplication.Whensomeassignmentsa...
Learning of Active for Probabilistic
2023-11-13 14:46:1716792.76 MB4
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Acceleration of SVRG and Katyusha X by Inexact Preconditioning
AccelerationofSVRGandKatyushaXbyInexactPreconditioningYanliLiu1FeiFeng1WotaoYin1Abstractregularizerψ(x)isproper,closed,andconvex,butmaybenonsmooth.Anonzeroψ(x)isdesirableinmanyapplica-Empiricalri...
of and by Acceleration Inexact
2023-11-13 14:46:169581.03 MB18
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Accelerated Linear Convergence of Stochastic Momentum Methods in Wasserstein Distances
AcceleratedLinearConvergenceofStochasticMomentumMethodsinWassersteinDistancesBugraCan1MertGurbuzbalaban1LingjiongZhu2Abstractsupervisedlearningincludelinearandnon-linearregressionproblems,supportve...
of Methods Convergence Stochastic Accelerated
2023-11-13 14:46:16947313.05 KB26
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A Tree-Based Method for Fast Repeated Sampling of Determinantal Point Processes
ATree-BasedMethodforFastRepeatedSamplingofDeterminantalPointProcessesJenniferGillenwater1AlexKulesza1ZeldaMariet23SergeiVassilvitskii1AbstractForrecommendersystems,diversityintroducesvarietyandincr...
of for Sampling Fast Method
2023-11-13 14:46:15507508.18 KB26
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A Theory of Regularized Markov Decision Processes
ATheoryofRegularizedMarkovDecisionProcessesMatthieuGeist1BrunoScherrer2OlivierPietquin1AbstractTsallisentropy(Leeetal.,2018),withthemotivationofhavingasparseregularizedgreedypolicy.OtherapproachesM...
of Markov Decision Processes Theory
2023-11-13 14:46:151630267.95 KB20
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A Theoretical Analysis of Contrastive Unsupervised Representation Learning
ATheoreticalAnalysisofContrastiveUnsupervisedRepresentationLearningSanjeevArora12HrishikeshKhandeparkar1MikhailKhodak3OrestisPlevrakis1NikunjSaunshi1AbstractForimages,aproofofexistenceforbroadlyuse...
Learning of Analysis Unsupervised Representation
2023-11-13 14:46:15585520.42 KB26
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A Tail-Index Analysis of Stochastic Gradient Noise in Deep Neural Networks
ATail-IndexAnalysisofStochasticGradientNoiseinDeepNeuralNetworksUmutS¸ims¸ekli1LeventSagun2MertGu¨rbu¨zbalaban3Abstractmanyapplicationdomains(LeCunetal.,2015;Krizhevskyetal.,2012;Hintonetal.,20...
of Gradient Analysis Stochastic in
2023-11-13 14:46:156231.69 MB19
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A Statistical Investigation of Long Memory in Language and Music
AStatisticalInvestigationofLongMemoryinLanguageandMusicAlexanderGreaves-Tunnell1ZaidHarchaoui1Abstractundoubtedlyhelpful,suchheuristicsarerarelydeﬁnedwithrespecttoanunderlyingmathematicalorstatist...
of Statistical in Language Memory
2023-11-13 14:46:141255309.19 KB18
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A Quantitative Analysis of the Effect of Batch Normalization on Gradient Descent
AQuantitativeAnalysisoftheEffectofBatchNormalizationonGradientDescentYongqiangCai1QianxiaoLi12ZuoweiShen1AbstracteffectsofBNareattributedtotheso-called“reductionofcovariateshift”.However,itisuncl...
of Analysis the Batch effect
2023-11-13 14:46:141565913.91 KB19
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A Kernel Theory of Modern Data Augmentation
AKernelTheoryofModernDataAugmentationTriDao1AlbertGu1AlexanderJ.Ratner1VirginiaSmith2ChristopherDeSa3ChristopherRe´1Abstractasregularizertomaketheresultingmodelmorerobust,andprovideresourcestodata...
of Kernel Data Theory Modern
2023-11-13 14:46:1311651.37 MB12
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What is the Effect of Importance Weighting in Deep Learning
WhatistheEffectofImportanceWeightinginDeepLearning?JonathonByrd1ZacharyC.Lipton1AbstractEq[f(x)],importancesamplingproducesanunbiasedesti-matebyweightingeachsamplexaccordingtothelikelihoodImportanc...
of the effect Importance is
2023-11-13 14:46:097074.68 MB21
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Weak Detection of Signal in the Spiked Wigner Model
WeakDetectionofSignalintheSpikedWignerModelHyeWonChung1JiOonLee2Abstractwherethesignalx∈RNandHisanN×NWignerma-trix.(SeeDeﬁnitions1and2.)ThespikedWignermodelWeconsidertheproblemofdetectingthepres...
of the in Detection Weak
2023-11-13 14:46:081322466.89 KB4
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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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Towards Fast Computation of Certified Robustness for ReLU Networks
TowardsFastComputationofCertiﬁedRobustnessforReLUNetworksTsui-WeiWeng1HuanZhang2HonggeChen1ZhaoSong34Cho-JuiHsieh2DuaneBoning1InderjitS.Dhillon4LucaDaniel1Abstract1.IntroductionVerifyingtherobustn...
of for Fast Computation Robustness
2023-11-13 12:00:541632488.74 KB9
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Theoretical Analysis of Sparse Subspace Clustering with Missing Entries
TheoreticalAnalysisofSparseSubspaceClusteringwithMissingEntriesManolisC.Tsakiris1Rene´Vidal2Abstractfoundnumerousapplicationsinmachinelearning,com-putervision,patternrecognition,bioinformaticsands...
of Sparse with Analysis Clustering
2023-11-13 12:00:521449345 KB19
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Theoretical Analysis of Image-to-Image Translation with Adversarial Learning
TheoreticalAnalysisofImage-to-ImageTranslationwithAdversarialLearningXudongPan1MiZhang1DaizongDing1Abstractagenerator(i.e.anadaptivemodelthatmapsagaussiannoisetoafakesample)andadiscriminator(i.e.an...
of Adversarial with Analysis Theoretical
2023-11-13 12:00:511728274.82 KB24
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The Multilinear Structure of ReLU Networks
TheMultilinearStructureofReLUNetworksThomasLaurent1JamesH.vonBrecht2AbstractΩ2Ω3WestudythelosssurfaceofneuralnetworksΩ1Ω4equippedwithahingelosscriterionandReLUorleakyReLUnonlinearities.Anysuchn...
of Networks the Structure Multilinear
2023-11-13 12:00:51950579.51 KB9
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The Power of Interpolation Understanding the Effectiveness of SGD in Modern Over-parametrized Learning
ThePowerofInterpolation:UnderstandingtheEffectivenessofSGDinModernOver-parametrizedLearning†SiyuanMa1RaefBassily1MikhailBelkin1Abstract1IntroductionInthispaperweaimtoformallyexplainthephe-Mostmach...
of the the Power Understanding
2023-11-13 12:00:511418586.36 KB29
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The Mechanics of n-Player Differentiable Games
TheMechanicsofn-PlayerDifferentiableGamesDavidBalduzzi1Se´bastienRacanie`re1JamesMartens1JakobFoerster2KarlTuyls1ThoreGraepel1Abstractoptimization(Pfau&Vinyals,2016),syntheticgradients(Jaderberget...
of the Differentiable Games Mechanics
2023-11-13 12:00:5015751.01 MB19
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The Limits of Maxing, Ranking, and Preference Learning
TheLimitsofMaxing,Ranking,andPreferenceLearningMoeinFalahatgar1AyushJain1AlonOrlitsky1VenkatadheerajPichapati1VaishakhRavindrakumar1Abstractthatguaranteestheexistenceofmaximumandshowthatunderthismo...
of and the Ranking Limits
2023-11-13 12:00:501778318.76 KB23
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