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标签“of”的相关文档，共557条

Approximation Theory of Convolutional Architectures for Time Series Modelling
ApproximationTheoryofConvolutionalArchitecturesforTimeSeriesModellingHaotianJiang1ZhongLi2QianxiaoLi13AbstractTherecentworkofLietal.(2021)formulatedthetempo-ralmodellingtaskintoafunctionalanalysisp...
of for Approximation Time Convolutional
2023-11-16 18:00:331240485.67 KB14
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Analyzing the tree-layer structure of Deep Forests
Analyzingthetree-layerstructureofDeepForestsLudovicArnould1ClaireBoyer1ErwanScornet2AbstractDeepForest(DF)algorithm(Zhou&Feng,2017),whichusesRandomForests(RF)(Breiman,2001)asneurons,hasRandomforest...
of Deep the Structure Analyzing
2023-11-16 18:00:318024.5 MB27
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An Information-Geometric Distance on the Space of Tasks
AnInformation-GeometricDistanceontheSpaceofTasksYansongGao1PratikChaudhari2AbstractFigure1.Coupledtransferofthedataandtheconditionaldis-tribution.WesolveanoptimizationproblemthattransportstheThispa...
of An on the Space
2023-11-16 18:00:3119986.1 MB8
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Analysis of stochastic Lanczos quadrature for spectrum approximation
AnalysisofstochasticLanczosquadratureforspectrumapproximationTylerChen1ThomasTrogdon1ShashankaUbaru2Abstractdependingonjustthespectrum.Conversely,computingtheCESMrequiresexactknowledgeofalltheeigen...
of for Analysis Stochastic Quadrature
2023-11-16 18:00:31698874.78 KB29
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AlphaNet Improved Training of Supernets with Alpha-Divergence
AlphaNet:ImprovedTrainingofSupernetswithAlpha-DivergenceDilinWang1ChengyueGong2MengLi1QiangLiu2VikasChandra1AbstractNeuralarchitecturesearch(NAS)automatestheneuralnet-workdesignbyexploringanenormou...
of with Improved Training AlphaNet
2023-11-16 18:00:297525.57 MB26
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Align, then memorise the dynamics of learning with feedback alignment
Align,thenmemorise:thedynamicsoflearningwithfeedbackalignmentMariaReﬁnetti12Ste´phaned’Ascoli13RubenOhana14SebastianGoldt5AbstractIntroductionDirectFeedbackAlignment(DFA)isemergingTrainingadeepn...
Learning of the Align Dynamics
2023-11-16 18:00:286382.32 MB15
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Agnostic Learning of Halfspaces with Gradient Descent via Soft Margins
AgnosticLearningofHalfspaceswithGradientDescentviaSoftMarginsSpencerFrei1YuanCao2QuanquanGu2AbstractminimizethesurrogateriskWeanalyzethepropertiesofgradientdescentonF(w):=E(x,y)∼D(ywx).(1)convexsu...
Learning of with Gradient Descent
2023-11-16 18:00:281806371.17 KB17
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Affine Invariant Analysis of Frank-Wolfe on Strongly Convex Sets
AfﬁneInvariantAnalysisofFrank-WolfeonStronglyConvexSetsThomasKerdreux1LewisLiu23SimonLacosteJulien2345DamienScieur43AbstractAlgorithm1Frank-WolfeAlgorithmLMOLine-searchItisknownthattheFrank-Wolfe(...
of Analysis on Invariant Affine
2023-11-16 18:00:281104545.97 KB21
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Active Learning of Continuous-time Bayesian Networks through Interventions
ActiveLearningofContinuous-timeBayesianNetworksthroughInterventionsDominikLinzner12HeinzKoeppl13Abstracttolearnthesedependencies.Thisisaproblemwhendataisacquiredunderlimitedresources,whichisthecase...
Learning of Active Networks Bayesian
2023-11-16 18:00:247471.21 MB5
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Actionable Models Unsupervised offline Reinforcement Learning of Robotic Skills
ActionableModels:UnsupervisedofﬂineReinforcementLearningofRoboticSkillsYevgenChebotar1KarolHausman1YaoLu1TedXiao1DmitryKalashnikov1JakeVarley1AlexIrpan1BenjaminEysenbach12RyanJulian13ChelseaFinn14...
Learning of Models Reinforcement Unsupervised
2023-11-16 18:00:2314496.95 MB3
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Asymptotics of Ridge Regression in Convolutional Models
AsymptoticsofRidgeRegressioninConvolutionalModelsMojtabaSahraee-Ardakan12TungMai3AnupRao3RyanRossi3SundeepRangan4AlysonK.Fletcher12Abstractonlyslightlyawayfromtheinitialization(Allen-Zhuetal.,2018;...
of Models Regression in Convolutional
2023-11-16 18:00:181708972.12 KB24
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A Modular Analysis of Provable Acceleration via Polyak’s Momentum Training a Wide ReLU Network and a Deep Linear Network
AModularAnalysisofProvableAccelerationviaPolyak’sMomentum:TrainingaWideReLUNetworkandaDeepLinearNetworkJun-KunWang1Chi-HengLin2JacobAbernethy1Abstract1.IntroductionIncorporatingaso-called“momentu...
of Analysis via Network Modular
2023-11-16 17:52:041583273.76 KB5
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A Lower Bound for the Sample Complexity of Inverse Reinforcement Learning
ALowerBoundfortheSampleComplexityofInverseReinforcementLearningAbiKomanduru1JeanHonorio2AbstractproblemcanbeembeddedinLMDP,solutionstostandardMDPproblemsbasedonstandardMDPsareguaranteedtoInverserei...
of for Complexity the Sample
2023-11-16 17:52:04593274.89 KB13
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A Distribution-dependent Analysis of Meta Learning
ADistribution-DependentAnalysisofMeta-LearningMikhailKonobeev1IljaKuzborskij2CsabaSzepesva´ri12Abstract“similar”tothepreviousones.Intheformalframeworkofstatisticalmeta-learningofBaxter(2000),the...
Learning of Analysis Meta Distribution-dependent
2023-11-16 17:52:02656673.98 KB8
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A theory of high dimensional regression with arbitrary correlations between input features and target functions sample complexity, multiple descent curves and a hierarchy of phase transitions
ATheoryofHighDimensionalRegressionwithArbitraryCorrelationsbetweenInputFeaturesandTargetFunctions:SampleComplexity,MultipleDescentCurvesandaHierarchyofPhaseTransitionsGabrielC.Mel1SuryaGanguli2Abst...
of and with Regression High
2023-11-16 17:52:005164.85 MB14
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A Theory of Label Propagation for Subpopulation Shift
ATheoryofLabelPropagationforSubpopulationShiftTianleCai12RuiqiGao12JasonD.Lee1QiLei1Abstracttees.Manyoftheworksarebasedonthecovariateshiftas-sumption(Heckman,1979;Shimodaira,2000),whichstatesOneoft...
of for Theory Propagation Label
2023-11-16 17:52:001110496.52 KB10
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A Tale of Two Efficient and Informative Negative Sampling Distributions
ATaleofTwoEfﬁcientandInformativeNegativeSamplingDistributionsShabnamDaghaghi1TharunMedini1NicholasMeisburger2BeidiChen3MengnanZhao1AnshumaliShrivastava21AbstractAIproblemsarecurrentlymodeledasmass...
of Efficient and Tale Two
2023-11-16 17:51:5911261.04 MB16
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A Sharp Analysis of Model-based Reinforcement Learning with Self-Play
ASharpAnalysisofModel-basedReinforcementLearningwithSelf-PlayQinghuaLiu1TianchengYu2YuBai3ChiJin1Abstract1.IntroductionModel-basedalgorithms—algorithmsthatexploreThispaperisconcernedwiththeproblem...
Learning of with Reinforcement Analysis
2023-11-16 17:51:591965317.86 KB26
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A Representation Learning Perspective on the Importance of Train-Validation Splitting in Meta-Learning
ARepresentationLearningPerspectiveontheImportanceofTrain-ValidationSplittinginMeta-LearningNikunjSaunshi1ArushiGupta1WeiHu1Abstractfrommany“train”taskstolearnausefulpriorthatcanhelpsolvenew“test...
Learning of on the Representation
2023-11-16 17:51:5713421.28 MB7
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A Proxy Variable View of Shared Confounding
AProxyVariableViewofSharedConfoundingYixinWang1DavidM.Blei2Abstractconfounder)aredifﬁculttoobtain,e.g.,requiringexpensivereal-timetrackingofactivities.LifestyleisnecessarilyanCausalinferencefromob...
of View Variable Shared Proxy
2023-11-16 17:51:571007711.65 KB18
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