"Kernels"的相关文档

标签“Kernels”的相关文档，共13条

Proximal Causal Learning with Kernels Two-Stage Estimation and Moment Restriction
ProximalCausalLearningwithKernels:Two-StageEstimationandMomentRestrictionAfsanehMastouri1YuchenZhu1LimorGultchin23AnnaKorba4RicardoSilva1MattJ.Kusner1ArthurGretton†1KrikamolMuandet†5AbstractGoalA...
Learning with Estimation Proximal Causal
2023-11-16 19:28:358861.16 MB6
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Optimal Transport Kernels for Sequential and Parallel Neural Architecture Search
OptimalTransportKernelsforSequentialandParallelNeuralArchitectureSearchVuNguyen∗1TamLe∗2MakotoYamada23MichaelA.Osborne4Abstractreaderstothesurvey(Elskenetal.,2019b)foradetailedreviewofNASandtothe...
for and Optimal Transport Sequential
2023-11-16 19:28:2615881.36 MB3
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Learning Interaction Kernels for Agent Systems on Riemannian Manifolds
LearningInteractionKernelsforAgentSystemsonRiemannianManifoldsMauroMaggioni12JasonMiller1HongdaQiu1MingZhong1Abstractsystemsonvariousmanifolds(Leeetal.,2018;Caponigroetal.,2014;Sarlette&Sepulchre,2...
Learning for on Systems Kernels
2023-11-16 19:05:015557.06 MB24
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How rotational invariance of common Kernels prevents generalization in high dimensions
HowrotationalinvarianceofcommonKernelspreventsgeneralizationinhighdimensionsKonstantinDonhauser1MingqiWu1FannyYang1Abstractconclusiveintheregimed/nβ→cwithβ∈(0,1).Inpar-ticular,eventhoughseveral...
of How Kernels Invariance Common
2023-11-16 18:46:581585465.27 KB27
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Fast Sketching of Polynomial Kernels of Polynomial Degree
FastSketchingofPolynomialKernelsofPolynomialDegreeZhaoSong1DavidP.Woodruff2ZhengYu3LichenZhang4Abstractdatapointsislarge.Typically,applyingthekernelfunc-tiontoeachpairofdatapointstakesO(d)time.This...
of Fast Kernels Sketching Polynomial
2023-11-16 18:38:08624365.76 KB20
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Scalable Gaussian Process Regression for Kernels with a Non-Stationary Phase
ScalableGaussianProcessSeparationforKernelswithaNon-StationaryPhaseJanGraßhoff1AlexandraJankowski1PhilippRostalski1Abstractproposed(Liuetal.,2018),oneofwhichisbasedoncom-putinglow-rankapproximatio...
for with Gaussian Process Regression
2023-11-14 21:46:181465770.59 KB18
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Neural Kernels Without Tangents
NeuralKernelswithoutTangentsVaishaalShankar1AlexFang1WenshuoGuo1SaraFridovich-Keil1LudwigSchmidt1JonathanRagan-Kelley2BenjaminRecht1Abstractonmanybenchmarkproblems(Lietal.,2019;Aroraetal.,2020).How...
Neural without Kernels Tangents
2023-11-14 21:45:221738466.67 KB12
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Learning to Learn Kernels with Variational Random Features
LearningtoLearnKernelswithVariationalRandomFeaturesXiantongZhen12HaoliangSun3YingjunDu2JunXu4YilongYin3LingShao51CeesSnoek2Abstractfromrelatedtaskstoenablefastadaptationtoanewtaskwithalimitedamount...
Learning Variational with random to
2023-11-14 21:44:5811661.63 MB11
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Learning Deep Kernels for Non-Parametric Two-Sample Tests
LearningDeepKernelsforNon-ParametricTwo-SampleTestsFengLiu12WenkaiXu2JieLu1GuangquanZhang1ArthurGretton2D.J.Sutherland3Abstracttremelylow-dimensionalspaces.Abroadsetofrecentworkinstatisticsandmachi...
Learning for Deep Kernels Tests
2023-11-14 21:44:518935.2 MB14
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Learning deep Kernels for exponential family densities
LearningDeepKernelsforExponentialFamilyDensitiesLiK.Wenliang1DougalJ.Sutherland1HeikoStrathmann1ArthurGretton1AbstractducingkernelHilbertspace.Choosingaﬁnite-dimensionalkernelrecoversanyclassicale...
Learning for Deep Kernels Exponential
2023-11-13 14:47:3712832.72 MB17
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The Weighted Kendall and High-order Kernels for Permutations
TheWeightedKendallandHigh-orderKernelsforPermutationsYunlongJiao1Jean-PhilippeVert2Abstractwherenisthenumberofitems;however,inspiteofcom-putationaltricks,thisleadstoalgorithmswithO(nn)com-Wepropose...
for and the Kernels High-Order
2023-11-13 12:00:521118299.72 KB11
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BOCK Bayesian Optimization with Cylindrical Kernels
BOCK:BayesianOptimizationwithCylindricalKernelsChangYongOh1EfstratiosGavves1MaxWelling12Abstractx1T(x1)AmajorchallengeinBayesianOptimizationisthex1xT(x1)T(x2)boundaryissue(Swersky,2017)whereanalgo-...
Optimization with Bayesian Kernels BOCK
2023-11-13 11:59:1113282.24 MB2
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Measuring Sample Quality with Kernels
MeasuringSampleQualitywithKernelsJacksonGorham1LesterMackey2AbstractagesEhXP1nhx.However,manyexactApproximateMarkovchainMonteCarloQn[()]=ni=1(i)(MCMC)offersthepromiseofmorerapidsam-plingatthecostof...
with Sample Quality Measuring Kernels
2023-11-12 20:44:471816921.86 KB23
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