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标签“Mean”的相关文档，共20条

Towards Practical Mean Bounds for Small Samples
TowardsPracticalMeanBoundsforSmallSamplesMyPhan1PhilipS.Thomas1ErikLearned-Miller1Abstractrefertotwoseparatesettings,theone-endedsupportsetting,inwhichthedistributionisknowntofallintheintervalHisto...
for Mean bounds Samples Practical
2023-11-16 19:42:1113021.26 MB13
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Signatured Deep Fictitious Play for Mean Field Games with Common Noise
SignaturedDeepFictitiousPlayforMeanFieldGameswithCommonNoiseMingMin1RuimengHu12Abstractrealisticmodels,theproblemusuallylackstractabilityandneedsnumericalmethods.WithalargenumberofplayersExistingde...
for Deep Mean Field Fictitious
2023-11-16 19:41:4813046.7 MB4
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On Robust Mean Estimation under Coordinate-level Corruption
OnRobustMeanEstimationunderCoordinate-levelCorruptionZifanLiu1JonghoPark1TheodorosRekatsinas1ChristosTzamos1Abstractﬁlteringordown-weightingcorrupteddatavectorstoreducetheirinﬂuence(Diakonikolase...
on Robust Estimation under Mean
2023-11-16 19:15:4518422.31 MB14
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Maximum Mean Discrepancy Test is Aware of Adversarial Attacks
MaximumMeanDiscrepancyTestisAwareofAdversarialAttacksRuizeGao12FengLiu3JingfengZhang4BoHan1TongliangLiu5GangNiu4MasashiSugiyama46AbstractsupinEq.(1),Grettonetal.(2012b)restrictedFtobeaunitballinthe...
of Test Mean is Maximum
2023-11-16 19:05:1515843.64 MB15
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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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Strategyproof Mean Estimation from Multiple-Choice Questions
StrategyproofMeanEstimationfromMultiple-ChoiceQuestionsAnsonKahng1GregoryKehne2ArielD.Procaccia3Abstractadmittoprovideanestimateoftheprobabilitypithattheadmitmatriculates,butthisisproblematicbecaus...
from Estimation Mean Strategyproof Multiple-Choice
2023-11-14 21:46:341200369.02 KB21
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High-dimensional Robust Mean Estimation via Gradient Descent
High-dimensionalRobustMeanEstimationviaGradientDescentYuCheng1IliasDiakonikolas2RongGe3MahdiSoltanolkotabi4Abstractasmallconstantfractionofarbitraryoutliers.Westudytheproblemofhigh-dimensionalro-Th...
Gradient Descent High-dimensional via Robust
2023-11-14 21:44:301854345.65 KB8
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Differentiating through the Fréchet Mean
DifferentiatingthroughtheFre´chetMeanAaronLou1IsayKatsman1QingxuanJiang1SergeBelongie1Ser-NamLim2ChristopherDeSa1AbstractFigure1.DepictedaboveistheFre´chetMean,µ,ofthreepoints,x1,x2,x3intheLoren...
the through Mean Differentiating Fr
2023-11-14 21:43:4919474.28 MB23
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A Mean Field Analysis Of Deep ResNet And Beyond Towards Provably Optimization Via Overparameterization From Depth
AMean-ﬁeldAnalysisofDeepResNetandBeyond:TowardsProvableOptimizationViaOverparameterizationFromDepthYipingLu1ChaoMa2YulongLu3JianfengLu3LexingYing4Abstract1.IntroductionTrainingdeepneuralnetworkswi...
of and Analysis Deep Mean
2023-11-14 21:42:521780397.05 KB1
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Recht-Re Noncommutative Arithmetic-Geometric Mean Conjecture is False
Recht–Re´NoncommutativeArithmetic-GeometricMeanConjectureisFalseZehuaLai1Lek-HengLim1Abstractinmachinelearningcomputations,stochasticvariantsofgradientdescent(Bottou,2010;Johnson&Zhang,2013;Stoch...
Mean is False Recht-Re Noncommutative
2023-11-14 17:19:241704351.94 KB2
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MONK Outlier-Robust Mean Embedding Estimation by Median-of-Means
MONK–Outlier-RobustMeanEmbeddingEstimationbyMedian-of-MeansMatthieuLerasle12Zolta´nSzabo´3Timothe´eMathieu1GuillaumeLecue´4Abstractversatilityofdomainswherekernelsexist;examplesincludetrees(Co...
by Estimation Mean embedding MONK
2023-11-13 14:47:53761733.16 KB20
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Kernel Mean Matching for Content Addressability of GANs
KernelMeanMatchingforContentAddressabilityofGANsWittawatJitkrittum1PatsornSangkloy2MuhammadWaleedGondal1AmitRaj2JamesHays2BernhardSchölkopf1AbstractInimagegenerativemodeling,itisdesirabletohavecon...
of for Kernel Matching Mean
2023-11-13 14:47:3411717.34 MB14
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Bayesian Deconditional Kernel Mean Embeddings
BayesianDeconditionalKernelMeanEmbeddingsKelvinHsu12FabioRamos13AbstractOurﬁrstcontributionbeginswithformulatingdeconditionalMeanembeddings(DMEs)assolutionstothisinferenceConditionalkernelMeanembe...
Kernel Embeddings Bayesian Mean Deconditional
2023-11-13 14:46:2913432.82 MB30
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Quickshift++ Provably Good Initializations for Sample-Based Mean Shift
Quickshift++:ProvablyGoodInitializationsforSample-BasedMeanShiftHeinrichJiang1JenniferJang2SamoryKpotufe3AbstractOneofthedrawbacksofthesetwoprocedures,aswellasmanymode-seekingbasedclusteringalgorit...
for Provably Good Mean Quickshift++
2023-11-13 12:00:3117732.31 MB19
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Mean Field Multi-Agent Reinforcement Learning
MeanFieldMulti-AgentReinforcementLearningYaodongYang1RuiLuo1MinneLi1MingZhou2WeinanZhang2JunWang1AbstractInstead,accountingfortheextrainformationfromconjec-turingthepoliciesofotheragentsisbeneﬁcia...
Learning Reinforcement Multi-Agent Mean Field
2023-11-13 12:00:0816943.38 MB12
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Dynamical Isometry and a Mean Field Theory of RNNs Gating Enables Signal Propagation in Recurrent Neural Networks
DynamicalIsometryandaMeanFieldTheoryofRNNs:GatingEnablesSignalPropagationinRecurrentNeuralNetworksMinminChen1JeffreyPennington2SamuelS.Schoenholz2Abstracttion(Gravesetal.,2013)andrecommendationsyst...
of and Theory Mean Isometry
2023-11-13 11:59:3012231.54 MB23
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Dynamical Isometry and a Mean Field Theory of CNNs How to Train 10,000-Layer Vanilla Convolutional Neural Networks
DynamicalIsometryandaMeanFieldTheoryofCNNs:HowtoTrain10,000-LayerVanillaConvolutionalNeuralNetworksLechaoXiao12YasamanBahri12JaschaSohl-Dickstein1SamuelS.Schoenholz1JeffreyPennington1AbstractFigure...
of and Theory Mean Isometry
2023-11-13 11:59:307991.17 MB12
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Differentially Private Database Release via Kernel Mean Embeddings
DifferentiallyPrivateDatabaseReleaseviaKernelMeanEmbeddingsMatejBalog12IlyaTolstikhin1BernhardScho¨lkopf1Abstractdatabaseshavebeenstudiedpreviously(Blumetal.,2008;Wasserman&Zhou,2010;Zhouetal.,200...
Kernel via Differentially Private Mean
2023-11-13 11:59:2712033.16 MB21
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McGan Mean and Covariance Feature Matching GAN
McGan:MeanandCovarianceFeatureMatchingGANYoussefMroueh12TomSercu12VaibhavaGoel2Abstractetal.,2015;Dziugaiteetal.,2015).Asshownempiricallyin(Salimansetal.,2016),onecantraintheGANdiscrimi-Weintroduce...
Feature Matching and Mean McGan
2023-11-12 20:44:479723.42 MB25
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Distributed Mean Estimation with Limited Communication
DistributedMeanEstimationwithLimitedCommunicationAnandaTheerthaSuresh1FelixX.Yu1SanjivKumar1H.BrendanMcMahan2AbstracttheMeansofallclustersineachupdatestep.Similarly,forPCA,ifdatasamplesaredistribut...
Distributed with Estimation Mean Limited
2023-11-12 20:44:151763502.01 KB14
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