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标签“Kernel”的相关文档，共56条

Two-way Kernel matrix puncturing towards resource-efficient PCA and spectral clustering
Two-wayKernelmatrixpuncturing:towardsresource-efﬁcientPCAandspectralclusteringRomainCouillet12FlorentChatelain1NicolasLeBihan1Abstractbeprocessedinreal-timebeforebeingdiscardedaltogether.Inparalle...
Kernel Matrix Resource-efficient Towards PCA
2023-11-16 19:42:1518743.07 MB17
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Structured Convolutional Kernel Networks for Airline Crew Scheduling
StructuredConvolutionalKernelNetworksforAirlineCrewSchedulingYassineYaakoubi12FrançoisSoumis1SimonLacoste-Julien†23Abstractlarge-scalemonthlyCPPs(upto50,000ﬂights)andbuild-ingonthecolumngenerati...
for Kernel Networks Convolutional Structured
2023-11-16 19:41:591000377.11 KB11
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SKIing on Simplices Kernel Interpolation on the Permutohedral Lattice for Scalable Gaussian Processes
SKIingonSimplices:KernelInterpolationonthePermutohedralLatticeforScalableGaussianProcessesSanyamKapoor1MarcFinzi1KeAlexanderWang2AndrewGordonWilson1AbstractFigure1.Comparisonofthenumberofgridpoints...
Kernel on the Interpolation SKIing
2023-11-16 19:41:521939883.17 KB10
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Scalable Variational Gaussian Processes via Harmonic Kernel Decomposition
ScalableVariationalGaussianProcessesviaHarmonicKernelDecompositionShengyangSun12JiaxinShi3AndrewGordonWilson4RogerGrosse12Abstract2t=0t=1t=2t=3WeintroduceanewscalablevariationalGaus-1sianprocessapp...
Kernel Variational Gaussian via Processes
2023-11-16 19:41:4218046.85 MB24
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On Reward-Free RL with Kernel and Neural Function Approximations Single-Agent MDP and Markov Game
OnReward-FreeRLwithKernelandNeuralFunctionApproximations:Single-AgentMDPandMarkovGameShuangQiu1JiepingYe1ZhaoranWang2ZhuoranYang3Abstractislargeandfunctionapproximatorssuchasneuralnetworksareemploy...
Neural Kernel and with on
2023-11-16 19:15:451156360.65 KB9
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On the Random Conjugate Kernel and Neural Tangent Kernel
OntheRandomConjugateKernelandNeuralTangentKernelZhengmianHu1HengHuang1Abstractduetothedifﬁcultiesraisedbythenon-convexityofthelossfunctionandthecomplicationofoptimizationmethods.Weinvestigatethedi...
Neural Kernel and on the
2023-11-16 19:15:251628450.89 KB12
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Kernel Stein Discrepancy Descent
KernelSteinDiscrepancyDescentAnnaKorba1Pierre-CyrilAubin-Frankowski2SzymonMajewski3PierreAblin4AbstractbySimon-Gabriel(2018),classicaldissimilaritiesincludeAmongdissimilaritiesbetweenprobabilitydis...
Kernel Descent Stein Discrepancy
2023-11-16 18:47:0518141.49 MB17
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Kernel Continual Learning
KernelContinualLearningMohammadMahdiDerakhshani1XiantongZhen12LingShao2CeesG.M.Snoek1Abstractcompletepreviouslyexperiencedtaskswithminimalperfor-mancedegradation.ThefundamentalchallengeincontinualT...
Learning Kernel Continual
2023-11-16 18:47:051978535.97 KB22
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High-dimensional Experimental Design and Kernel Bandits
High-DimensionalExperimentalDesignandKernelBanditsRomainCamilleri1JulianKatz-Samuels2KevinJamieson1AbstractWeconsiderthefollowinggamebetweenalearnerandna-ture:ateachtimet=1...T,thelearnerrequestsxt...
Kernel and High-dimensional Bandits Design
2023-11-16 18:46:551525435.25 KB4
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Faster Kernel Matrix Algebra via Density Estimation
FasterKernelMatrixAlgebraviaDensityEstimationArtursBackurs1PiotrIndyk2CameronMusco3TalWagner4Abstractetal.(2008)foranoverview.Westudyfastalgorithmsforcomputingfunda-Kernelmethodstypicallyoperateusi...
Kernel Matrix via Density Estimation
2023-11-16 18:38:091642413.16 KB30
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Efficient Statistical Tests A Neural Tangent Kernel Approach
EfﬁcientStatisticalTests:ANeuralTangentKernelApproachShengJia12EhsanNezhadarya3YuhuaiWu12JimmyBa12Abstractformaximizingthetestpower(Liuetal.,2020;Gaoetal.,2020).Thesemethodshavebeenshowntoempirica...
Neural Kernel Efficient Statistical Approach
2023-11-16 18:37:5815113.56 MB22
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Distributed Nyström Kernel Learning with Communications
DistributedNystro¨mKernelLearningwithCommunicationsRongYin12YongLiu34WeipingWang12DanMeng12Abstractetal.,2021;Lietal.,2019;Rudietal.,2016;Avronetal.,2017),randomprojections(Lin&Cevher,2020;Liuetal...
Learning Kernel Distributed with Nystr
2023-11-16 18:31:111396324.77 KB27
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Deep Kernel processes
DeepKernelprocessesLaurenceAitchison1AdamX.Yang1SebastianW.Ober2Abstractalreadyexist.Inthesemethods,whicharecloselyre-latedtoinﬁniteBayesianneuralnetworks(Leeetal.,2017;WedeﬁnedeepKernelprocesses...
Kernel Deep Processes
2023-11-16 18:31:01952217.12 KB8
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Conditional Distributional Treatment Effect with Kernel Conditional Mean Embeddings and U-Statistic Regression
ConditionalDistributionalTreatmentEffectwithKernelConditionalMeanEmbeddingsandU-StatisticRegressionJunhyungPark1UriShalit2BernhardScho¨lkopf1KrikamolMuandet1Abstractontheanalysisoftheaveragetreatm...
Kernel with Conditional Mean treatment
2023-11-16 18:11:241912535.21 KB28
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Classifying high-dimensional Gaussian mixtures Where Kernel methods fail and neural networks succeed
Classifyinghigh-dimensionalGaussianmixtures:WhereKernelmethodsfailandneuralnetworkssucceedMariaReﬁnetti12SebastianGoldt3FlorentKrzakala2LenkaZdeborová4Abstractetal.,2018;Allen-Zhuetal.,2018;Li&Li...
Kernel Methods Gaussian High-dimensional Mixtures
2023-11-16 18:11:218613.03 MB17
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Time-aware Large Kernel Convolutions
Time-awareLargeKernelConvolutionsVasileiosLioutas1YuhongGuo1Abstractetal.,2019;Radfordetal.,2019),automaticsummarization(Paulusetal.,2018;Fanetal.,2018;Celikyilmazetal.,Todate,moststate-of-the-arts...
Kernel Convolutions Large Time-aware
2023-11-14 21:46:471985360.57 KB11
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The Neural Tangent Kernel in High Dimensions Triple Descent and a Multi-Scale Theory of Generalization
TheNeuralTangentKernelinHighDimensions:TripleDescentandaMulti-ScaleTheoryofGeneralizationBenAdlam†1JeffreyPennington1AbstractClassicalregimeAbundantparameterizationSuperabundantparameterizationMod...
Neural Kernel the in High
2023-11-14 21:46:4516431.59 MB23
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Spectrum Dependent Learning Curves in Kernel Regression and Wide Neural Networks
SpectrumDependentLearningCurvesinKernelRegressionandWideNeuralNetworksBlakeBordelon1AbdulkadirCanatar2CengizPehlevan13Abstractnetworks(LeCunetal.,2015)withwidehiddenlayersthataddressesthesequestion...
Learning Kernel Regression in Spectrum
2023-11-14 21:46:29665936.79 KB30
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PENNI Pruned Kernel Sharing for Efficient CNN Inference
PENNI:PrunedKernelSharingforEfﬁcientCNNInferenceShiyuLi1EdwardHanson1HaiLi1YiranChen1Abstractlayer(Zagoruyko&Komodakis,2016),ormorebranches(Szegedyetal.,2015).Amajordrawbackofna¨ıvelyin-Although...
for Kernel Efficient Sharing CNN
2023-11-14 21:45:507081.81 MB30
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Near Input Sparsity Time Kernel Embeddings via Adaptive Sampling
NearInputSparsityTimeKernelEmbeddingsviaAdaptiveSamplingDavidP.Woodruff1AmirZandieh2Abstractproducingcompressedandlow-rankapproximationstoker-nelmatrices(Rahimi&Recht,2008;Alaoui&Mahoney,Toaccelera...
Kernel Embeddings via Time Sparsity
2023-11-14 21:45:18528316.55 KB19
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