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标签“with”的相关文档，共634条

Forest-type Regression with General Losses and Robust Forest
Forest-typeRegressionwithGeneralLossesandRobustForestAlexanderHanboLi1AndrewMartin2Abstractdictquantilesbydiscoveringthatbesidescalculatingtheweightedmeanoftheobservedresponsevariables,oneThispaper...
and with Regression Robust Forest-type
2023-11-12 20:44:251004550.15 KB2
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Exploiting Strong Convexity from Data with Primal-Dual First-Order Algorithms
ExploitingStrongConvexityfromDatawithPrimal-DualFirst-OrderAlgorithmsJialeiWang1LinXiao2Abstractfunctionisφi(z)=(1/2)(z−bi)2,andwegetridgere-gressionwith2andtheelasticnetwithWeconsiderempiricalri...
from with Data Primal-Dual Exploiting
2023-11-12 20:44:22660436.63 KB12
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Evaluating Bayesian Models with Posterior Dispersion Indices
EvaluatingBayesianModelswithPosteriorDispersionIndicesAlpKucukelbir1YixinWang1DavidM.Blei1Abstractvalidationcapturesanotionofgeneralizationandjustiﬁesholdingoutdata.Thissimplecombinationhasfueledt...
Models with Bayesian Evaluating Posterior
2023-11-12 20:44:211983249.91 KB2
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Efficient Online Bandit Multiclass Learning with $ tildeO( sqrtT)$ Regret
EfﬁcientOnlineBanditMulticlassLearningwithO˜(√T)RegretAlinaBeygelzimer1FrancescoOrabona2ChichengZhang3Abstracttakesofthebestpredictorintheclass.Kakadeetal.(2008)proposedabanditmodiﬁcationoftheM...
Learning Online Efficient with Bandit
2023-11-12 20:44:191027654.94 KB28
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Efficient Distributed Learning with Sparsity
EfﬁcientDistributedLearningwithSparsityJialeiWang1MladenKolar1NathanSrebro2TongZhang3Abstractabletoachievetheperformanceofacentralizedprocedurethathasaccesstoalldata,whilekeepingcomputationandWepr...
Learning Efficient Distributed with Sparsity
2023-11-12 20:44:181583460.61 KB4
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Dueling Bandits with Weak Regret
DuelingBanditswithWeakRegretBangruiChen1PeterI.Frazier1AbstractWestudyamodelforthissettingcalledtheduelingbanditproblem(Yue&Joachims,2009).TheitemswemayofferWeconsideronlinecontentrecommendationwit...
with Dueling Bandits Weak Regret
2023-11-12 20:44:1711401.15 MB28
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Dropout Inference in Bayesian Neural Networks with Alpha-divergences
DropoutInferenceinBayesianNeuralNetworkswithAlpha-divergencesYingzhenLi1YarinGal12Abstractinformationcanbeused,forexample,toidentifywhenavi-sionmodelisgivenanadversarialimage(studiedbelow),Toobtain...
Neural Networks Inference with Bayesian
2023-11-12 20:44:1611761.05 MB14
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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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Discovering Discrete Latent Topics with Neural Variational Inference
DiscoveringDiscreteLatentTopicswithNeuralVariationalInferenceYishuMiao1EdwardGrefenstette2PhilBlunsom12AbstracteitherMonteCarloorVariationaltechniques(Jordanetal.,1999;Attias,2000;Beal,2003)).Howev...
Neural Variational with Latent Discovering
2023-11-12 20:44:1511292.66 MB27
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Differentiable Programs with Neural Libraries
DifferentiableProgramswithNeuralLibrariesAlexanderL.Gaunt1MarcBrockschmidt1NateKushman1DanielTarlow2Abstractexplorepotentialadvantagesofthisclassofhybridmodeloverpurelyneuralsystems,withaparticular...
Neural with Differentiable Programs Libraries
2023-11-12 20:44:1311482.28 MB14
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Developing Bug-Free Machine Learning Systems with Formal Mathematics
DevelopingBug-FreeMachineLearningSystemswithFormalMathematicsDanielSelsam1PercyLiang1DavidL.Dill1AbstractStandardmethodology:testitempiricallyDebugNoisydata,non-convexobjectives,modelmis-speciﬁcat...
Learning with Developing Bug-Free Machine
2023-11-12 20:44:121397316 KB9
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Device Placement Optimization with Reinforcement Learning
DevicePlacementOptimizationwithReinforcementLearningAzaliaMirhoseini12HieuPham12QuocV.Le1BenoitSteiner1RasmusLarsen1YuefengZhou1NaveenKumar3MohammadNorouzi1SamyBengio1JeffDean1Abstractetal.,2015;Wu...
Learning Optimization with Reinforcement Device
2023-11-12 20:44:12845442.63 KB9
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Depth-Width Tradeoffs in Approximating Natural Functions with Neural Networks
Depth-WidthTradeoffsinApproximatingNaturalFunctionswithNeuralNetworksItaySafran1OhadShamir1Abstractcentempiricalevidencesuggeststhatstandardfeedforwarddeepnetworksarehardertooptimizethanshallowerne...
with in Natural Depth-Width Tradeoffs
2023-11-12 20:44:121960420.26 KB2
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Density Level Set Estimation on Manifolds with DBSCAN
DensityLevelSetEstimationonManifoldswithDBSCANHeinrichJiang1Abstractthedataset(andremainingpointsnotreachablefromanycore-pointareconsiderednoise).ThispartitioningistheWeshowthatDBSCANcanestimatethe...
with on Density Estimation Level
2023-11-12 20:44:121385267.8 KB16
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Deletion-Robust Submodular Maximization Data Summarization with “the Right to be Forgotten”
Deletion-RobustSubmodularMaximization:DataSummarizationwith“theRighttobeForgotten”BaharanMirzasoleiman1AminKarbasi2AndreasKrause1Abstractinganygivendatapointearlierhelpsmorethanselectingitlater.H...
Submodular Maximization with the Data
2023-11-12 20:44:1115052.22 MB12
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Deep Transfer Learning with Joint Adaptation Networks
DeepTransferLearningwithJointAdaptationNetworksMingshengLong1HanZhu1JianminWang1MichaelI.Jordan2Abstractshallowtransferlearningmethodsbridgethesourceandtar-getdomainsbylearninginvariantfeaturerepre...
Learning Networks with Deep Adaptation
2023-11-12 20:44:09782511.22 KB26
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Deep Latent Dirichlet Allocation with Topic-Layer-Adaptive Stochastic Gradient Riemannian MCMC
DeepLatentDirichletAllocationwithTopic-Layer-AdaptiveStochasticGradientRiemannianMCMCYulaiCong1BoChen1HongweiLiu1MingyuanZhou2Abstractsuchasdeepbeliefnetwork(DBN)(Hintonetal.,2006)anddeepBoltzmannm...
with Deep Stochastic Latent Dirichlet
2023-11-12 20:44:096141.57 MB27
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Deep Generative Models for Relational Data with Side Information
DeepGenerativeModelsforRelationalDatawithSideInformationChangweiHu1PiyushRai2LawrenceCarin3Abstractofaccomplishingthisisbyembeddingthenodesinala-tentspacevialatentspacemodels(Hoffetal.,2002).Wepres...
for Models Generative with Deep
2023-11-12 20:44:081227419.86 KB11
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Deep Bayesian Active Learning with Image Data
DeepBayesianActiveLearningwithImageDataYarinGal12RiashatIslam1ZoubinGhahramani13Abstractmedicaldiagnosis,microbiology,andmanufacturing(Tong,2001).Inactivelearning,amodelistrainedonasmallEventhougha...
Learning Active with Deep Bayesian
2023-11-12 20:44:081094688.15 KB27
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Count-Based Exploration with Neural Density Models
Count-BasedExplorationwithNeuralDensityModelsGeorgOstrovski1MarcG.Bellemare1Aa¨ronvandenOord1Re´miMunos1Abstractbeensuccessfullydemonstratedinanumberofsettings(Deisenroth&Rasmussen,2011;Guezetal....
Neural Models with Density Count-Based
2023-11-12 20:44:0610111.05 MB27
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