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标签“for”的相关文档，共1143条

Risk Bounds for Transferring Representations With and Without Fine-Tuning
RiskBoundsforTransferringRepresentationsWithandWithoutFine-TuningDanielMcNamara1Maria-FlorinaBalcan2Abstractneuralnetworks.1Underthis‘representation-as-a-service’model,ausermayexpecttoaccessthere...
for Representations and with bounds
2023-11-12 20:45:081031426.04 KB23
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Resource-efficient Machine Learning in 2 KB RAM for the Internet of Things
Resource-efﬁcientMachineLearningin2KBRAMfortheInternetofThingsAshishKumar1SaurabhGoyal2ManikVarma1Abstractory.TheBBCMicro:Bithasa32bitARMCortexM0mi-crocontrolleroperatingat16MHzwith16KBSRAMandThis...
Learning for in Machine Resource-efficient
2023-11-12 20:45:07902356.58 KB20
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Relative Fisher Information and Natural Gradient for Learning Large Modular Models
RelativeFisherInformationandNaturalGradientforLearningLargeModularModelsKeSun1FrankNielsen23AbstractTheFIMisnotinvariantanddependsontheparameteri-zation.WecanoptionallywriteI(Θ)asIΘ(Θ)toem-Fishe...
for and Gradient Natural Information
2023-11-12 20:45:0714061.3 MB5
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Recursive Partitioning for Personalization using Observational Data
RecursivePartitioningforPersonalizationusingObservationalDataNathanKallus1Abstractwhichcanbepotentiallymassiveasinelectronicmedi-calrecords(EMRs)but,atthesametime,lackexperimen-Westudytheproblemofl...
for Using Data Recursive Partitioning
2023-11-12 20:45:061830450.82 KB23
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Recovery Guarantees for One-hidden-layer Neural Networks
RecoveryGuaranteesforOne-hidden-layerNeuralNetworks∗KaiZhong1ZhaoSong2PrateekJain3PeterL.Bartlett4InderjitS.Dhillon5Abstract1.IntroductionInthispaper,weconsiderregressionproblemsNeuralNetworks(NNs...
Neural for Networks Guarantees Recovery
2023-11-12 20:45:05555386.11 KB9
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Random Fourier Features for Kernel Ridge Regression Approximation Bounds and Statistical Guarantees
RandomFourierFeaturesforKernelRidgeRegression:ApproximationBoundsandStatisticalGuaranteesHaimAvron1MichaelKapralov2CameronMusco3ChristopherMusco3AmeyaVelingker2AmirZandieh2AbstractIntheabove,K2Rn⇥...
for Kernel Regression random Features
2023-11-12 20:45:051525557.73 KB5
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Random Feature Expansions for Deep Gaussian Processes
RandomFeatureExpansionsforDeepGaussianProcessesKurtCutajar1EdwinV.Bonilla2PietroMichiardi1MaurizioFilippone1Abstract2006)suchthattheoutputofeachlayerofGPsformstheinputtotheGPsatthenextlayer,effecti...
for Feature Deep Gaussian random
2023-11-12 20:45:05899167.71 KB15
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Prox-PDA The Proximal Primal-Dual Algorithm for Fast Distributed Nonconvex Optimization and Learning Over Networks
Prox-PDA:TheProximalPrimal-DualAlgorithmforFastDistributedNonconvexOptimizationandLearningOverNetworksMingyiHong1DavoodHajinezhad1Ming-MinZhao2Abstract2016);3)nonconvexutilityfunctionsusedinapplica...
for Algorithm the Fast Proximal
2023-11-12 20:45:051880752.34 KB3
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ProtoNN Compressed and Accurate kNN for Resource-scarce Devices
ProtoNN:CompressedandAccuratekNNforResource-scarceDevicesChiragGupta1ArunSaiSuggala12AnkitGoyal13HarshaVardhanSimhadri1BhargaviParanjape1AshishKumar1SaurabhGoyal4RaghavendraUdupa1ManikVarma1Prateek...
for and Compressed Accurate ProtoNN
2023-11-12 20:45:041533616.01 KB4
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Provable Alternating Gradient Descent for Non-negative Matrix Factorization with Strong Correlations
ProvableAlternatingGradientDescentforNon-negativeMatrixFactorizationwithStrongCorrelationsYuanzhiLi1YingyuLiang1AbstractBydoingso,onecanavoidcancellationofdifferentfea-turesandimproveinterpretabili...
for Matrix Gradient Descent Provable
2023-11-12 20:45:041885433.6 KB1
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Provably Optimal Algorithms for Generalized Linear Contextual Bandits
ProvablyOptimalAlgorithmsforGeneralizedLinearContextualBanditsLihongLi1YuLu2DengyongZhou1Abstractetal.,2009;Lietal.,2010;2012).Intheproblemofper-sonalizednewsrecommendation,thewebsitemustrecom-Cont...
for Algorithms Optimal Contextual Provably
2023-11-12 20:45:04691312.21 KB5
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Practical Gauss-Newton Optimisation for Deep Learning
PracticalGauss-NewtonOptimisationforDeepLearningAleksandarBotev1HippolytRitter1DavidBarber12Abstractthegradientsatthecurrentsettingoftheparameterswithvariousheuristicestimatesofthecurvaturefromprev...
Learning for Deep Optimisation Practical
2023-11-12 20:45:021970946.28 KB7
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PixelCNN Models with Auxiliary Variables for Natural Image Modeling
PixelCNNModelswithAuxiliaryVariablesforNaturalImageModelingAlexanderKolesnikov1ChristophH.Lampert1Abstracttypemodels(vandenOordetal.,2016a;b;Salimansetal.,2017),haveshowntodeliverthebestperformance...
for Models with Variables Auxiliary
2023-11-12 20:45:0113581.21 MB9
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Partitioned Tensor Factorizations for Learning Mixed Membership Models
PartitionedTensorFactorizationsforLearningMixedMembershipModelsZilongTan1SayanMukherjee1Abstractoftheobservationsinatensorform.Inferenceinthisset-tingbecomesaproblemoftensorfactorization.Compu-Wepr...
Learning for Tensor Factorizations Mixed
2023-11-12 20:45:01703307.07 KB10
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Parallel and Distributed Thompson Sampling for Large-scale Accelerated Exploration of Chemical Space
ParallelandDistributedThompsonSamplingforLarge-scaleAcceleratedExplorationofChemicalSpaceJose´MiguelHerna´ndez-Lobato1JamesRequeima12EdwardO.Pyzer-Knapp34Ala´nAspuru-Guzik3Abstractcompoundsandpo...
for Distributed Sampling and Large-Scale
2023-11-12 20:45:0118121.05 MB25
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Oracle Complexity of Second-Order Methods for Finite-Sum Problems
OracleComplexityofSecond-OrderMethodsforFinite-SumProblemsYossiArjevani1OhadShamir1AbstractTostudythecomplexityofthisandotheroptimizationproblems,itiscommontoconsideranoraclemodel,Finite-sumoptimiz...
of for Complexity Methods Oracle
2023-11-12 20:44:59952346.68 KB2
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Optimal Densification for Fast and Accurate Minwise Hashing
OptimalDensiﬁcationforFastandAccurateMinwiseHashingAnshumaliShrivastava1Abstractspeech,andtextarequitepopular(Broder,1997;FetterlyMinwisehashingisafundamentalandoneofetal.,2003).Enrichingfeaturesw...
for and Fast Optimal Densification
2023-11-12 20:44:5910591.02 MB23
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Optimal Algorithms for Smooth and Strongly Convex Distributed Optimization in Networks
OptimalAlgorithmsforSmoothandStronglyConvexDistributedOptimizationinNetworksKevinScaman1FrancisBach2Se´bastienBubeck3YinTatLee3LaurentMassoulie´1Abstractnatelocalincrementalimprovementsteps(sucha...
for and Algorithms Optimal Convex
2023-11-12 20:44:58989426.95 KB11
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On the Sampling Problem for Kernel Quadrature
OntheSamplingProblemforKernelQuadratureFranc¸ois-XavierBriol12ChrisJ.Oates34JonCockayne1WilsonYeChen5MarkGirolami24AbstractCarlo(MC)methodscanbeusedtoestimatethenumericalvalueofEqn.1.Aclassicalres...
for Kernel Sampling on the
2023-11-12 20:44:561193607.74 KB11
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On Approximation Guarantees for Greedy Low Rank Optimization
OnApproximationGuaranteesforGreedyLowRankOptimizationRajivKhanna1EthanR.Elenberg1AlexandrosG.Dimakis1JoydeepGhosh1SahandNegahban2AbstractUnfortunately,theaboveoptimizationcanbecomputation-allytaxin...
for Rank Approximation Guarantees on
2023-11-12 20:44:5415961.5 MB26
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