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标签“in”的相关文档，共437条

Action Robust Reinforcement Learning and Applications in Continuous Control
ActionRobustReinforcementLearningandApplicationsinContinuousControlChenTessler1YonathanEfroni1ShieMannor1AbstractTheadvantageofrobustpoliciesishighlightedwhencon-sideringimperfectmodels,acommonscen...
Learning and Reinforcement Robust in
2023-11-13 14:46:161153424.77 KB29
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A Tail-index Analysis of Stochastic Gradient Noise in Deep Neural Networks
ATail-indexAnalysisofStochasticGradientNoiseinDeepNeuralNetworksUmutS¸ims¸ekli1LeventSagun2MertGu¨rbu¨zbalaban3Abstractmanyapplicationdomains(LeCunetal.,2015;Krizhevskyetal.,2012;Hintonetal.,20...
of Gradient Analysis Stochastic in
2023-11-13 14:46:156231.69 MB19
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A Statistical investigation of Long Memory in Language and Music
AStatisticalinvestigationofLongMemoryinLanguageandMusicAlexanderGreaves-Tunnell1ZaidHarchaoui1Abstractundoubtedlyhelpful,suchheuristicsarerarelydeﬁnedwithrespecttoanunderlyingmathematicalorstatist...
of Statistical in Language Memory
2023-11-13 14:46:141255309.19 KB18
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A Large-Scale Study on Regularization and Normalization in GANs
ALarge-ScaleStudyonRegularizationandNormalizationinGANsKarolKurach1MarioLucic1XiaohuaZhai1MarcinMichalski1SylvainGelly1Abstractfromthetruedistributionorweresynthesizedbythegenera-tor.Thesolutiontot...
and on in Large-Scale Regularization
2023-11-13 14:46:131662835.15 KB26
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A Framework for Bayesian Optimization in Embedded Subspaces
AFrameworkforBayesianOptimizationinEmbeddedSubspacesAlexanderMunteanu1AminNayebi2MatthiasPoloczek32Abstracttheobjectivefunction.Thus,itisnotsurprisingthatex-pandingBOtohigher-dimensionalsearchspace...
for Optimization Bayesian in Framework
2023-11-13 14:46:121194703.25 KB15
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Zero-Shot Knowledge Distillation in Deep Networks
Zero-ShotKnowledgeDistillationinDeepNetworksGauravKumarNayak1KondaReddyMopuri2VaisakhShaj3R.VenkateshBabu1AnirbanChakraborty1Abstractlentperformance,buttheycanbehugeandcomputationallyexpensive.Henc...
Networks Deep in Zero-Shot Knowledge
2023-11-13 14:46:1013111.57 MB14
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Width Provably Matters in Optimization for Deep Linear Neural Networks
WidthProvablyMattersinOptimizationforDeepLinearNeuralNetworksSimonS.Du1WeiHu2Abstractconvergestoglobalminimumunderfurtherassumptionsonbothdataandglobalminimum.TheseresultsrequireWeprovethatforanL-l...
for Optimization Deep in Provably
2023-11-13 14:46:091739725.1 KB28
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Weak Detection of Signal in the Spiked Wigner Model
WeakDetectionofSignalintheSpikedWignerModelHyeWonChung1JiOonLee2Abstractwherethesignalx∈RNandHisanN×NWignerma-trix.(SeeDeﬁnitions1and2.)ThespikedWignermodelWeconsidertheproblemofdetectingthepres...
of the in Detection Weak
2023-11-13 14:46:081322466.89 KB4
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A Baseline for Any Order Gradient Estimation in Stochastic Computation Graphs
ABaselineforAnyOrderGradientEstimationinStochasticComputationGraphsJingkaiMao1JakobFoerster2TimRockta¨schel3MaruanAl-Shedivat4GregoryFarquhar2ShimonWhiteson2Abstract1.introductionByenablingcorrect...
for Gradient in Estimation Order
2023-11-13 13:58:411858656.13 KB26
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Transfer in Deep Reinforcement Learning Using Successor Features and Generalised Policy Improvement
TransferinDeepReinforcementLearningUsingSuccessorFeaturesandGeneralisedPolicyImprovementAndre´Barreto1DianaBorsa1JohnQuan1TomSchaul1DavidSilver1MatteoHessel1DanielMankowitz1AugustinZˇ´ıdek1Re´...
Learning Using Reinforcement Deep in
2023-11-13 12:00:5413771.59 MB27
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Time Limits in Reinforcement Learning
TimeLimitsinReinforcementLearningFabioPardo1ArashTavakoli1VitalyLevdik1PetarKormushev1Abstractintheenvironmentwhichinturnprovidesarepresenta-tionSt+1ofthesuccessorstateandarewardsignalRt+1.inreinfo...
Learning Reinforcement in Time Limits
2023-11-13 12:00:538911.14 MB20
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Tight Regret Bounds for Bayesian Optimization in One Dimension
TightRegretBoundsforBayesianOptimizationinOneDimensionJonathanScarlett1Abstract2010),whoconsiderthecumulativeregret:WeconsidertheproblemofBayesianoptimiza-Ttion(BO)inonedimension,underaGaussianproc...
for Optimization Bayesian in Regret
2023-11-13 12:00:52516626.12 KB6
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The Mirage of Action-Dependent Baselines in Reinforcement Learning
TheMirageofAction-DependentBaselinesinReinforcementLearningGeorgeTucker1SuryaBhupatiraju12ShixiangGu134RichardE.Turner3ZoubinGhahramani35SergeyLevine16Abstractetal.,2015a;2017)areaclassofmodel-free...
of Reinforcement the in Mirage
2023-11-13 12:00:5019531.44 MB15
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The Hidden Vulnerability of Distributed Learning in Byzantium
TheHiddenVulnerabilityofDistributedLearninginByzantiumElMahdiElMhamdi1RachidGuerraoui1Se´bastienRouault1AbstractQ,dependingonaparameterx,ifonekeepsupdatingxintheoppositedirectionofthegradientofQ,w...
Learning of Distributed Hidden the
2023-11-13 12:00:501741663.67 KB8
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The Edge Density Barrier Computational-Statistical Tradeoffs in Combinatorial inference
TheEdgeDensityBarrier:Computational-StatisticalTradeoffsinCombinatorialinferenceHaoLu1YuanCao1ZhuoranYang1JunweiLu2HanLiu3ZhaoranWang4Abstractinbioinformatics(Friedman,2004),informationretrieval(We...
the in Density Tradeoffs Edge
2023-11-13 12:00:491927675.56 KB18
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Streaming Principal Component Analysis in Noisy Setting
StreamingPrincipalComponentAnalysisinNoisySettingsTeodorV.Marinov1PooryaMianjy1RamanArora1AbstractBigdataischaracterizednotonlybyitssheer“volume”butalsobyits“veracity”,orthelackthereof.Mostbigd...
Analysis in Principal Component Noisy
2023-11-13 12:00:461663542.62 KB5
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Spurious Local Minima are Common in Two-Layer ReLU Neural Networks
SpuriousLocalMinimaareCommoninTwo-LayerReLUNeuralNetworksItaySafran1OhadShamir1Abstractlearning,andtensordecomposition,donothavespuriouslocalminimaundersuitableassumptions,inwhichcaselo-Weconsidert...
Local in Are Spurious Minima
2023-11-13 12:00:42585385.45 KB20
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Residual Unfairness in Fair Machine Learning from Prejudiced Data
ResidualUnfairnessinFairMachineLearningfromPrejudicedDataNathanKallus1AngelaZhou2Abstractnewquestionsaboutthepossibleharmsoflearningfromdatawhichissubjecttohistoricalbias.Unlikeclean-cutpre-Recentw...
Learning from in Machine Fair
2023-11-13 12:00:341366678.64 KB29
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Revealing Common Statistical Behaviors in Heterogeneous Populations
RevealingCommonStatisticalBehaviorsinHeterogeneousPopulationsAndreyZhitnikov1RotemMulayoff1TomerMichaeli1Abstractanalysis(Hagleretal.,2006),etc.Groupanalysesoftenrelyontheassumptionthatallsubjectsi...
Statistical in populations Heterogeneous Revealing
2023-11-13 12:00:3413951.41 MB16
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QuantTree Histograms for Change Detection in Multivariate Data Streams
QuantTree:HistogramsforChangeDetectioninMultivariateDataStreamsGiacomoBoracchi1DiegoCarrera1CristianoCervellera2DaniloMaccio`2Abstractmostchange-detectiontestsintheliterature(Basseville&Nikiforov,1...
for in Detection Multivariate Change
2023-11-13 12:00:301399377.2 KB10
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