"of"的相关文档

标签“of”的相关文档，共557条

Guarantees for Greedy Maximization of Non-submodular Functions with Applications
GuaranteesforGreedyMaximizationofNon-submodularFunctionswithApplicationsAndrewAnBian1JoachimM.Buhmann1AndreasKrause1SebastianTschiatschek1AbstractwhereV={v1,...,vn}isthegroundset.Speciﬁcally,inexp...
of for Maximization Guarantees Functions
2023-11-12 20:44:2915311.03 MB28
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Global optimization of Lipschitz functions
GlobaloptimizationofLipschitzfunctionsCe´dricMalherbe1NicolasVayatis1Abstractglobaloptimization(Pinte´r,1991),black-boxoptimization(Jonesetal.,1998)orderivative-freeoptimization(Rios&Thegoalofthe...
of Optimization Functions Global Lipschitz
2023-11-12 20:44:271321481.48 KB1
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Geometry of Neural Network Loss Surfaces via Random Matrix Theory
GeometryofNeuralNetworkLossSurfacesviaRandomMatrixTheoryJeffreyPennington1YasamanBahri1Abstract2014;Choromanskaetal.,2015;Neyshaburetal.,2015),architecturedesign,andgeneralization(Keskaretal.).Unde...
of Neural via Network Geometry
2023-11-12 20:44:2615061.69 MB16
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Failures of Gradient-Based Deep Learning
FailuresofGradient-BasedDeepLearningShaiShalev-Shwartz1OhadShamir2ShakedShammah1Abstractbothparties:fromapractitioner’sperspective,emphasizingthedifﬁcultiesprovidespracticalinsightstothetheoreti-...
Learning of Deep Failures Gradient-Based
2023-11-12 20:44:221814554.26 KB3
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Evaluating the Variance of Likelihood-Ratio Gradient Estimators
EvaluatingtheVarianceofLikelihood-RatioGradientEstimatorsSeiyaTokui12IsseiSato32Abstractforevariancereductioniscrucialforpracticallearning.However,fewthingsareknownaboutitstheoreticalas-Thelikeliho...
of Gradient the Variance Evaluating
2023-11-12 20:44:21978647.65 KB8
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Efficient Orthogonal Parametrisation of Recurrent Neural Networks Using Householder Reflections
EfﬁcientOrthogonalParametrisationofRecurrentNeuralNetworksUsingHouseholderReﬂectionsZakariaMhammedi12AndrewHellicar2AshfaqurRahman2JamesBailey1Abstractinanerrorsurface,associatedwithsomeobjective...
of Neural Networks Efficient Recurrent
2023-11-12 20:44:181171422.45 KB19
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Differentially Private Learning of Undirected Graphical Models Using Collective Graphical Models
DifferentiallyPrivateLearningofUndirectedGraphicalModelsUsingCollectiveGraphicalModelsGarrettBernstein1RyanMcKenna1TaoSun1DanielSheldon12MichaelHay3GeromeMiklau1AbstractDifferentialprivacyisawidely...
Learning of Models Graphical Differentially
2023-11-12 20:44:1418194.6 MB8
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Cost-Optimal Learning of Causal Graphs
Cost-OptimalLearningofCausalGraphsMuratKocaoglu1AlexDimakis1SriramVishwanath1AbstractSupposeshedecidestoperformaninterventiononthedietvariable.ThisentailsforcingthedesireddietaryrestrictionsWeconsi...
Learning of graphs Cost-Optimal Causal
2023-11-12 20:44:061199521.75 KB19
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Convergence Analysis of Proximal Gradient with Momentum for Nonconvex Optimization
ConvergenceAnalysisofProximalGradientwithMomentumforNonconvexOptimizationQunweiLi1YiZhou1YingbinLiang1PramodK.Varshney1AbstractAlgorithm1APGInthiswork,weinvestigatetheacceleratedprox-Input:y1=x1=x0...
of with Gradient Analysis Convergence
2023-11-12 20:44:041357314.05 KB7
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Clustering by Sum of Norms Stochastic Incremental Algorithm, Convergence and Cluster Recovery
ClusteringbySumofNorms:StochasticIncrementalAlgorithm,ConvergenceandClusterRecoveryAshkanPanahi1DevdattDubhashi2FredrikD.Johansson3ChiranjibBhattacharyya4Abstractrequiresrandomlyinitializingtheclus...
of by Stochastic Clustering Sum
2023-11-12 20:43:581101362 KB12
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Bayesian Models of Data Streams with Hierarchical Power Priors
BayesianModelsofDataStreamswithHierarchicalPowerPriorsAndre´sMasegosa12ThomasD.Nielsen3HelgeLangseth2Dar´ıoRamos-Lo´pez1AntonioSalmero´n1AndersL.Madsen34Abstractgettingapproaches(Honkela&Valpo...
of Models with Bayesian Data
2023-11-12 20:43:551643572.34 KB21
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Automatic Discovery of the Statistical Types of Variables in a Dataset
AutomaticDiscoveryoftheStatisticalTypesofVariablesinaDatasetIsabelValera1ZoubinGhahramani12Abstractplore,ﬁndpatternsormakepredictionsonthedata.Asanexample,apredictiontaskissolveddifferentlydependi...
of Automatic Discovery the Statistical
2023-11-12 20:43:541780917.4 KB11
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Analytical Guarantees on Numerical Precision of Deep Neural Networks
AnalyticalGuaranteesonNumericalPrecisionofDeepNeuralNetworksCharbelSakrYongjuneKimNareshShanbhagAbstractdeepresidualnetwork.ThishighcomplexityofdeepneuralnetworkspreventsitsdeploymentonenergyandThe...
of Analytical Guarantees on Numerical
2023-11-12 20:43:52871928.98 KB6
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Analysis and Optimization of Graph Decompositions by Lifted Multicuts
AnalysisandOptimizationofGraphDecompositionsbyLiftedMulticutsAndreaHornˇa´kova´1Jan-HendrikLange1BjoernAndres1AbstractFigure1.Adecompositionofagraphisapartitionofthenodesetintoconnectedsubsets.A...
of Optimization and Analysis Graph
2023-11-12 20:43:52705406.96 KB25
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An Analytical Formula of Population Gradient for two-layered ReLU network and its Applications in Convergence and Critical Point Analysis
AnAnalyticalFormulaofPopulationGradientfortwo-layeredReLUnetworkanditsApplicationsinConvergenceandCriticalPointAnalysisYuandongTian1Abstractandwhysimplemethodslikegradientdescentcansolvethecomplica...
of and An Analytical Formula
2023-11-12 20:43:50523771.14 KB12
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An Adaptive Test of Independence with Analytic Kernel Embeddings
AnAdaptiveTestofIndependencewithAnalyticKernelEmbeddingsWittawatJitkrittum1ZoltánSzabó2ArthurGretton1AbstractAbasicnonlineardependencemeasureistheHilbert-SchmidtIndependenceCriterion(HSIC),whichi...
Adaptive of An Test Independence
2023-11-12 20:43:50899798.94 KB5
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AdaNet Adaptive Structural Learning of Artificial Neural Networks
AdaNet:AdaptiveStructuralLearningofArtiﬁcialNeuralNetworksCorinnaCortes1XavierGonzalvo1VitalyKuznetsov1MehryarMohri21ScottYang2Abstractoflayersandunitsspeciﬁedsincethereneedstobeatleastonepaththr...
AdaNet Adaptive Structural Learning of
2023-11-12 20:43:48790454.14 KB10
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