"for"的相关文档 - 文库宝

开通VIP限时优惠

|

登录 | 注册

标签“for”的相关文档，共1143条

Bayesian Uncertainty Estimation for Batch Normalized Deep Networks
BayesianUncertaintyEstimationforBatchNormalizedDeepNetworksMattiasTeye12HosseinAzizpour1KevinSmith13Abstractorifthenetworkisconfrontedwithadversarialexamples(Goodfellowetal.,2014).Whenexposedtodata...
for Deep Bayesian Estimation Batch
2023-11-13 11:59:0816371.02 MB14
下载文档
Bayesian Quadrature for Multiple Related Integrals
BayesianQuadratureforMultipleRelatedIntegralsXiaoyueXi1Franc¸ois-XavierBriol123MarkGirolami123Abstractfunctionevaluationsandthereforeareuncertaintaboutthevalueoftheintegral.ThenotionofBayesianprob...
for Bayesian Multiple Quadrature Related
2023-11-13 11:59:085521.27 MB16
下载文档
Bayesian Model Selection for Change Point Detection and Clustering
BayesianModelSelectionforChangePointDetectionandClusteringOthmaneMazhar1CristianR.Rojas1CarloFischione1MohammadRezaHesamzadeh1Abstractmighthavedifferentbehaviorcorrespondingtodifferentpriceregimest...
for Selection Model Bayesian Detection
2023-11-13 11:59:071672699.35 KB26
下载文档
Autoregressive Convolutional Neural Networks for Asynchronous Time Series
AutoregressiveConvolutionalNeuralNetworksforAsynchronousTimeSeriesMikołajBin´kowski12GautierMarti23PhilippeDonnat2Abstractneuralnetworks(CNNs),(Lecunetal.,1998)inmodelingtheconditionalmeanofthedi...
Neural for Networks Asynchronous Time
2023-11-13 11:59:0711563.05 MB14
下载文档
Autoregressive Quantile Networks for Generative Modeling
AutoregressiveQuantileNetworksforGenerativeModelingGeorgOstrovski1WillDabney1Re´miMunos1AbstractInthispaper,wepresentanovelapproachtogenerativemod-eling,that,whilestrikinglydifferentfromexistingme...
for Networks Generative Quantile Modeling
2023-11-13 11:59:0619181.8 MB4
下载文档
Automatic Goal Generation for Reinforcement Learning Agents
AutomaticGoalGenerationforReinforcementLearningAgentsCarlosFlorensa1DavidHeld2XinyangGeng1PieterAbbeel13AbstracttodefeatachampionGoplayer(Silveretal.,2016),tooutperformhumansin49Atarigames(Guoetal....
Learning for Generation Reinforcement Automatic
2023-11-13 11:59:0614896.2 MB1
下载文档
Augment and Reduce Stochastic Inference for Large Categorical Distributions
AugmentandReduce:StochasticInferenceforLargeCategoricalDistributionsFranciscoJ.R.Ruiz12MichalisK.Titsias3AdjiB.Dieng2DavidM.Blei2Abstractwithmanyclasses,recommendationsystemswithmanyitems,andlangua...
for Inference and Stochastic Augment
2023-11-13 11:59:061517530.27 KB16
下载文档
Asynchronous Stochastic Quasi-Newton MCMC for Non-Convex Optimization
AsynchronousStochasticQuasi-NewtonMCMCforNon-ConvexOptimizationUmutS¸ims¸ekli1C¸ag˘atayYıldız2ThanhHuyNguyen1Gae¨lRichard1A.TaylanCemgil3AbstractwhereUisatwicecontinuouslydifferentiablefunct...
for Optimization Asynchronous Stochastic Non-convex
2023-11-13 11:59:0511061.55 MB7
下载文档
Approximation Guarantees for Adaptive Sampling
ApproximationGuaranteesforAdaptiveSamplingEricBalkanski1YaronSinger1Abstractandclusteringaresubmodularfunctions.forthecanonicalproblemofmaximizinganon-decreasingsubmodularfunc-Inthispaperweanalyzea...
Adaptive for Sampling Approximation Guarantees
2023-11-13 11:59:0519941.71 MB4
下载文档
Approximation Algorithms for Cascading Prediction Models
ApproximationAlgorithmsforCascadingPredictionModelsMatthewStreeter1Abstractwithstate-of-the-artaccuracy.forexample,themostac-curateNasNetmodelachieves82.7%accuracyonIma-Wepresentanapproximationalgo...
for Models Algorithms Approximation Prediction
2023-11-13 11:59:041969365.26 KB25
下载文档
Approximate message passing for amplitude based optimization
ApproximatemessagepassingforamplitudebasedoptimizationJunjieMa1JiXu2ArianMaleki3AbstractPhaseCut(Waldspurgeretal.,2015),arebasedonsemidef-initerelaxations.forrandomGaussianmeasurements,aWeconsidera...
for Optimization Approximate Based Message
2023-11-13 11:59:041722561.29 KB10
下载文档
Approximate Leave-One-Out for Fast Parameter Tuning in High Dimensions
ApproximateLeave-One-OutforFastParameterTuninginHighDimensionsShuaiwenWang1WendaZhou1HaihaoLu2ArianMaleki1VahabMirrokni3Abstractschemes,especiallyinhigh-dimensionalsettings,studiesthefollowingoptim...
for Approximate in Fast Leave-One-Out
2023-11-13 11:59:0412944.08 MB24
下载文档
Analysis of Minimax Error Rate for Crowdsourcing and Its Application to Worker Clustering Model
AnalysisofMinimaxErrorRateforCrowdsourcingandItsApplicationtoWorkerClusteringModelHideakiImamura12IsseiSato12MasashiSugiyama21Abstractsolvethisproblembyprovidingredundancyforlabeling,i.e.,bycollect...
of for Analysis Minimax Rate
2023-11-13 11:59:0314356.34 MB14
下载文档
An Iterative, Sketching-based Framework for Ridge Regression
AnIterative,Sketching-basedFrameworkforRidgeRegressionAgnivaChowdhury1JiasenYang1PetrosDrineas2Abstractsion.First,whendn,i.e.,thenumberofpredictorvari-ablesdgreatlyexceedsthenumberofobservationsn,...
for An Regression Iterative Ridge
2023-11-13 11:59:0316922.04 MB10
下载文档
An Estimation and Analysis Framework for the Rasch Model
AnEstimationandAnalysisFrameworkfortheRaschModelAndrewS.Lan1MungChiang2ChristophStuder3Abstractresponsetheory(IRT)model(Lord,1980),isgivenbyTheRaschmodeliswidelyusedforitemre-p(Yu,i=1)=Φ(au−di),(...
for and An Analysis the
2023-11-13 11:59:02681597.22 KB23
下载文档
An Inference-Based Policy Gradient Method for Learning Options
AnInference-BasedPolicyGradientMethodforLearningOptionsMatthewJ.A.Smith1HerkeVanHoof2JoellePineau1Abstractatvariouslevelsofabstraction,itispossibletoinfer,learnandplanmuchmoreefﬁciently.Further,ab...
Learning for An Gradient Policy
2023-11-13 11:59:02585701.32 KB26
下载文档
An Efficient, Generalized Bellman Update for Cooperative Inverse Reinforcement Learning
AnEfﬁcient,GeneralizedBellmanUpdateforCooperativeInverseReinforcementLearningDhruvMalik1MalayandiPalaniappan1JaimeF.Fisac1DylanHadﬁeld-Menell1StuartRussell1AncaD.Dragan1AbstractFigure1.ACIRLgame....
for Efficient An Bellman Generalized
2023-11-13 11:59:021609609.49 KB2
下载文档
An Efficient Semismooth Newton based Algorithm for Convex Clustering
AnEfﬁcientSemismoothNewtonBasedAlgorithmforConvexClusteringYanchengYuan1DefengSun2Kim-ChuanToh3Abstractwhichisnotavailableinmanyrealapplications.There-fore,inrealapplications,k-meansistypicallytri...
for Efficient An Algorithm Newton
2023-11-13 11:59:011105599.66 KB15
下载文档
Adaptive Exploration-Exploitation Tradeoff for Opportunistic Bandits
AdaptiveExploration-ExploitationTradeoffforOpportunisticBanditsHuasenWu1XueyingGuo2XinLiu2AbstractMotivatingscenario1:pricevariation.MABhasbeenwidelyusedinstudyingeffectiveproceduresandtreatmentsIn...
Adaptive for Bandits Exploration-Exploitation Tradeoff
2023-11-13 11:58:591342346.4 KB8
下载文档
Accurate Uncertainties for Deep Learning Using Calibrated Regression
AccurateUncertaintiesforDeepLearningUsingCalibratedRegressionVolodymyrKuleshov12NathanFenner2StefanoErmon1AbstractSales(units)Raw90%ConfidenceIntervalfromaBayesianNeuralNetworkMethodsforreasoningun...
Learning for Using Deep Accurate
2023-11-13 11:58:5817362.71 MB23
下载文档

首页上页 49 50 51 52 53 下页尾页

确认删除?

VIP会员服务
限时5折优惠