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标签“of”的相关文档，共557条

Learning and sampling of atomic interventions from observations
LearningandSamplingofAtomicInterventionsfromObservationsArnabBhattacharyya1SutanuGayen1SaravananKandasamy2AshwinMaran3N.V.Vinodchandran4Abstracttime.WestudytheproblemofefﬁcientlyestimatingWeextend...
Learning of from Sampling and
2023-11-14 21:44:501949398.88 KB8
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Learning and Evaluating Contextual Embedding of Source Code
LearningandEvaluatingContextualEmbeddingofSourceCodeAdityaKanade12PetrosManiatis2GogulBalakrishnan2KensenShi2Abstractstandtheauthor’sintentsothattheycanmaintainandextendthecode.Developersusemeanin...
Learning of and Contextual Evaluating
2023-11-14 21:44:491453634.65 KB24
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Landscape Connectivity and Dropout Stability of SGD Solutions for Over-parameterized Neural Networks
LandscapeConnectivityandDropoutStabilityofSGDSolutionsforOver-parameterizedNeuralNetworksAlexanderShevchenko1MarcoMondelli1Abstractanover-parameterizednetworkviaSGDtypicallyleadstoasolutionthathass...
of and Stability Dropout SGD
2023-11-14 21:44:477755.1 MB20
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Kernelized Stein Discrepancy Tests of Goodness-of-fit for Time-to-Event Data
KernelizedSteinDiscrepancyTestsofGoodness-of-ﬁtforTime-to-EventDataTamaraFerna´ndez1ArthurGretton1Nicola´sRivera2WenkaiXu1Abstracttimeofapatientinaclinicaltrial(Collett,2015;Biswasetal.,2007);or...
of for Kernelized Goodness-of-Fit Stein
2023-11-14 21:44:45820461.15 KB8
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Improving the Gating Mechanism of Recurrent Neural Networks
ImprovingtheGatingMechanismofRecurrentNeuralNetworksAlbertGu1CaglarGulcehre2TomPaine2MattHoffman2RazvanPascanu2Abstract(Chungetal.,2014,GRUs).ThesegatedRNNshavebeenverysuccessfulinseveraldifferenta...
of Neural Recurrent the Improving
2023-11-14 21:44:367625.87 MB12
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Improving Robustness of Deep-Learning-Based Image Reconstruction
ImprovingRobustnessofDeep-Learning-BasedImageReconstructionAnkitRaj1YoramBresler1BoLi2Abstract1.IntroductionDeep-learning-basedmethodsforvariousappli-Adversarialexamplesfordeeplearningbasedmethodsh...
of Image Improving Robustness Reconstruction
2023-11-14 21:44:3519793.27 MB11
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Implicit Regularization of Random Feature Models
ImplicitRegularizationofRandomFeatureModelsArthurJacot1BerﬁnS¸ims¸ek12FrancescoSpadaro1Cle´mentHongler1FranckGabriel1Abstractparametersexhibitsaso-called‘double-descent’curveformanymodelsincl...
of Feature Models random Regularization
2023-11-14 21:44:3314061.39 MB12
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Implicit differentiation of Lasso-type models for hyperparameter optimization
ImplicitdifferentiationofLasso-typemodelsforhyperparameteroptimizationQuentinBertrand1QuentinKlopfenstein2MathieuBlondel3SamuelVaiter4AlexandreGramfort1JosephSalmon5Abstract1.IntroductionSettingreg...
of for Models Hyperparameter Implicit
2023-11-14 21:44:331223665.38 KB11
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Hierarchical Generation of Molecular Graphs using Structural Motifs
HierarchicalGenerationofMolecularGraphsusingStructuralMotifsWengongJin1ReginaBarzilay1TommiJaakkola1Abstractgradientsacrosstheiterativesteps.Graphgenerationtechniquesareincreasinglybe-Largemolecule...
Structural of Using Generation Hierarchical
2023-11-14 21:44:3016171.34 MB15
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Harmonic Decompositions of Convolutional Networks
HarmonicDecompositionsofConvolutionalNetworksMeyerScetbon12ZaidHarchaoui2Abstractlyzeamulti-layerperceptron(MLP)insteadactingonvec-torizedimages,whichhasthedownsidethesetasidetheWepresentadescripti...
of Networks Decompositions Convolutional Harmonic
2023-11-14 21:44:291196657.89 KB16
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Guided Learning of Nonconvex Models through Successive Functional Gradient Optimization
GuidedLearningofNonconvexModelsthroughSuccessiveFunctionalGradientOptimizationRieJohnson1TongZhang2AbstractOuroriginalmotivationwasfunctionalgradientlearningofadditivemodelsingradientboosting(Fried...
Learning of Models through Nonconvex
2023-11-14 21:44:281054551.46 KB12
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GraphOpt Learning Optimization Models of Graph Formation
GraphOpt:LearningOptimizationModelsofGraphFormationRakshitTrivedi1JiachenYang1HongyuanZha12AbstractFigure1.⌦issetoflatentobjectivefunctions{Fi},anyofwhichcouldleadtoobservedgraphGwhenoptimised.Our...
Learning of Optimization Models Graph
2023-11-14 21:44:288682.68 MB11
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Graph Structure of Neural Networks
GraphStructureofNeuralNetworksJiaxuanYou1JureLeskovec1KaimingHe2SainingXie2Abstractinformationfromitsinputneurons,throughhiddenlayersallthewaytotheoutputneurons(McClellandetal.,1986).Neuralnetworks...
of Neural Networks Graph Structure
2023-11-14 21:44:2719635.95 MB27
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GradientDICE Rethinking Generalized offline Estimation of Stationary Values
GradientDICE:RethinkingGeneralizedofﬂineEstimationofStationaryValuesShangtongZhang1BoLiu2ShimonWhiteson1Abstractevaluationismoreﬂexible.Wecanevaluateanewpolicywithexistingdatainareplaybuffer(Lin,...
of Estimation Generalized Stationary Rethinking
2023-11-14 21:44:258081.39 MB5
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Go Wide, Then Narrow Efficient Training of Deep Thin Networks
GoWide,ThenNarrow:EfﬁcientTrainingofDeepThinNetworksDennyZhou1MaoYe2ChenChen1TianjianMeng1MingxingTan1XiaodanSong1QuocLe1QiangLiu2DaleSchuurmans1Abstractfeletal.,2019;Brownetal.,2020).Toenlargeamo...
of Efficient Wide Training Go
2023-11-14 21:44:241790338.72 KB28
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Global Concavity and Optimization in a Class of Dynamic Discrete Choice Models
GlobalConcavityandOptimizationinaClassofDynamicDiscreteChoiceModelsYidingFeng1EkaterinaKhmelnitskaya2DenisNekipelov2Abstract1.IntroductionDiscretechoicemodelswithunobservedhetero-Dynamicdiscretecho...
of Optimization and in Global
2023-11-14 21:44:23619517.77 KB3
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Generalization Error of Generalized Linear Models in High Dimensions
GeneralizationErrorofGeneralizedLinearModelsinHighDimensionsMelikasadatEmami1MojtabaSahraee-Ardakan12ParthePandit12SundeepRangan3AlysonK.Fletcher12Abstractaclassofgeneralizedlinearmodels(GLMs)ofthe...
of Models in generalization Linear
2023-11-14 21:44:21947546.77 KB1
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Generalization and Representational Limits of Graph Neural Networks
GeneralizationandRepresentationalLimitsofGraphNeuralNetworksVikasK.Garg1StefanieJegelka1TommiJaakkola1Abstractblycombiningthiswithv’sembedding.Theexactformoftheaggregateandcombinestepsvariesacross...
of Neural and Graph generalization
2023-11-14 21:44:201776324.78 KB12
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Gamification of Pure Exploration for Linear Bandits
GamiﬁcationofPureExplorationforLinearBanditsRe´myDegenne1PierreMe´nard2XuedongShang3MichalValko4Abstracthighconﬁdencetoagivenqueryusingasfewsamplesaspossible.Weinvestigateanactivepure-explorati...
of for Exploration Bandits Linear
2023-11-14 21:44:201052717.07 KB30
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Full Law Identification In Graphical Models of Missing Data Completeness Results
FullLawIdentiﬁcationinGraphicalModelsofMissingData:CompletenessResultsRaziehNabi1RohitBhattacharya1IlyaShpitser1Abstractetal.,2008;Marstonetal.,2010).MNARmechanismsareexpectedtooccurquiteofteninpr...
of Identification Models in Graphical
2023-11-14 21:44:19645287.65 KB26
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