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标签“and”的相关文档，共504条

Multidimensional Scaling Approximation and Complexity
MultidimensionalScaling:ApproximationandComplexityErikDemaine1AdamHesterberg2FredericKoehler3JaysonLynch4JohnUrschel3Abstractbeenrecognizedasafundamentaltoolfordataanalysisacrossabroadrangeofdiscip...
and Approximation Complexity Scaling Multidimensional
2023-11-16 19:15:3014962.33 MB25
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More Powerful and General Selective Inference for Stepwise Feature Selection using Homotopy Method
MorePowerfulandGeneralSelectiveInferenceforStepwiseFeatureSelectionUsingHomotopyMethodKazuyaSugiyama1VoNguyenLeDuy12IchiroTakeuchi12Abstractfeatureselection.Notably,Leeetal.(2016)andTibshiranietal....
for Inference and General Selective
2023-11-16 19:15:2811551.28 MB14
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Model-Free and Model-Based Policy Evaluation when Causality is Uncertain
Model-FreeandModel-BasedPolicyEvaluationwhenCausalityisUncertainDavidBruns-Smith1Abstractunobservedshocksareoftenassumedtobedrawniidev-eryperiod.ConsidertheFederalReserveBoardadjustingWhendecision-...
and Model-Based Model-Free Evaluation Policy
2023-11-16 19:15:2611701.65 MB7
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On the Random Conjugate Kernel and Neural Tangent Kernel
OntheRandomConjugateKernelandNeuralTangentKernelZhengmianHu1HengHuang1Abstractduetothedifﬁcultiesraisedbythenon-convexityofthelossfunctionandthecomplicationofoptimizationmethods.Weinvestigatethedi...
Neural Kernel and on the
2023-11-16 19:15:251628450.89 KB12
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Massively Parallel and Asynchronous Tsetlin Machine Architecture Supporting Almost Constant-Time Scaling
MassivelyParallelandAsynchronousTsetlinMachineArchitectureSupportingAlmostConstant-TimeScalingKurugeDarshanaAbeyrathna1BimalBhattarai1MortenGoodwin1SaeedRahimiGorji1Ole-ChristofferGranmo1LeiJiao1Ru...
and Asynchronous Machine Architecture Parallel
2023-11-16 19:05:1413661.18 MB6
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Making transport more robust and interpretable by moving data through a small number of anchor points
MakingtransportmorerobustandinterpretablebymovingdatathroughasmallnumberofanchorpointsChi-HengLin1MehdiAzabou12EvaL.Dyer123Abstracttivemodeling(MartinArjovsky&Bottou,2017;Tolstikhinetal.,2017),docu...
and by Robust Transport Making
2023-11-16 19:05:1212149.31 MB24
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Leveraging Language to Learn Program Abstractions and Search Heuristics
LeveragingLanguagetoLearnProgramAbstractionsandSearchHeuristicsCatherineWong1KevinEllis2JoshuaB.Tenenbaum13Jacobandreas1Abstractmodelsusingnaturallanguagesupervision.InLAPS,lan-guageguideslearningo...
and to Learn Language Leveraging
2023-11-16 19:05:078072.78 MB23
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Lenient Regret and Good-Action Identification in Gaussian Process Bandits
LenientRegretandGood-ActionIdentiﬁcationinGaussianProcessBanditsXuCai1SelwynGomes1JonathanScarlett12Abstractgorithmscanoftenbeappliedinauniﬁedmannerinthesetwosettings.Inthispaper,westudytheproble...
Identification and Gaussian in Regret
2023-11-16 19:05:061278565.8 KB30
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Learning and Planning in Complex Action Spaces
LearningandPlanninginComplexActionSpacesThomasHubert1JulianSchrittwieser1IoannisAntonoglou1MohammadaminBarekatain1SimonSchmitt1DavidSilver1Abstractreal-worldproblems.Manyimportantreal-worldproblems...
Learning and in Spaces Planning
2023-11-16 19:04:5710201.41 MB5
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Learning and Planning in Average-Reward Markov Decision Processes
LearningandPlanninginAverage-RewardMarkovDecisionProcessesYiWan1AbhishekNaik1RichardS.Sutton12Abstractwithit.Forlearningandcombinedmethods,bothcontrolandpredictionproblemscanbefurthersubdividedinto...
Learning and Markov in Decision
2023-11-16 19:04:5712902.04 MB6
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Joint Online Learning and Decision-making via Dual Mirror Descent
JointOnlineLearningandDecision-makingviaDualMirrorDescentAlfonsoLobos1PaulGrigas1ZhengWen2Abstractensuringthatwedonotincurtoomanycoststooearly,(ii)ensuringthatenoughcostsareincurredtomeetthelowerWe...
Learning Online and via Joint
2023-11-16 18:47:051561326.04 KB22
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Interpreting and Disentangling Feature Components of Various Complexity from DNNs
InterpretingandDisentanglingFeatureComponentsofVariousComplexityfromDNNsJieRen1MingjieLi1ZexuLiu1QuanshiZhang12Abstract?(?)=????+????+?????+??Thispaperaimstodeﬁne,visualize,andana...
of Feature and Disentangling Interpreting
2023-11-16 18:47:051986987.72 KB30
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Improved Regret Bound and Experience Replay in Regularized Policy Iteration
ImprovedRegretBoundandExperienceReplayinRegularizedPolicyIterationNevenaLazic´1DongYin1YasinAbbasi-Yadkori1CsabaSzepesva´ri12AbstractproposedbyEven-Daretal.(2009),wheretheagentse-lectspoliciesbyr...
and in Regret Improved Experience
2023-11-16 18:47:029904.02 MB11
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Improved OOD Generalization via Adversarial Training and Pretraing
ImprovedOODGeneralizationviaAdversarialTrainingandPre-trainingMingyangYi12†LuHou3JiachengSun3LifengShang3XinJiang3QunLiu3Zhi-MingMa12Abstractmanceofthemodelonthedatafromashifteddistributionaroundt...
Adversarial and via generalization Improved
2023-11-16 18:47:01916594.25 KB11
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How Do Adam and Training Strategies Help BNNs Optimization
HowDoAdamandTrainingStrategiesHelpBNNsOptimization?ZechunLiu12ZhiqiangShen2ShichaoLi1KoenHelwegen3DongHuang2Kwang-TingCheng1Abstract(a)realnetworks(b)binarynetworksThebestperformingBinaryNeuralNetw...
and How Training Adam Do
2023-11-16 18:46:5617753.31 MB1
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Householder Sketch for Accurate and Accelerated Least-Mean-Squares Solvers
HouseholderSketchforAccurateandAcceleratedLeast-Mean-SquaresSolversJyotikrishnaDass1RabiMahapatra1Abstractelsarestatisticallyrobustandeasilyinterpretable.Hence,theyﬁndapplicationsincancerresearch(...
for and Accelerated Sketch Accurate
2023-11-16 18:46:567411.05 MB26
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How and Why to Use Experimental Data to Evaluate Methods for Observational Causal Inference
HowandWhytoUseExperimentalDatatoEvaluateMethodsforObservationalCausalInferenceAmandaGentzel12PurvaPruthi1DavidJensen1Abstractfectsfromobservationaldata.Suchinterestisunderstand-able,giventhecentral...
and Data Use to How
2023-11-16 18:46:5618492.11 MB26
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Homomorphic Sensing Sparsity and Noise
HomomorphicSensing:SparsityandNoiseLiangzuPeng1BoshiWang1ManolisC.Tsakiris1AbstractAssumingtheexistenceofak-sparsesolutionx∗to(1),theﬁrstquestioniswhetherx∗isunique.TheanswerisUnlabeledsensingis...
and Sparsity Sensing Noise Homomorphic
2023-11-16 18:46:561819343.38 KB24
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High-dimensional Experimental Design and Kernel Bandits
High-DimensionalExperimentalDesignandKernelBanditsRomainCamilleri1JulianKatz-Samuels2KevinJamieson1AbstractWeconsiderthefollowinggamebetweenalearnerandna-ture:ateachtimet=1...T,thelearnerrequestsxt...
Kernel and High-dimensional Bandits Design
2023-11-16 18:46:551525435.25 KB4
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Grounding Language to Entities and Dynamics for Generalization in Reinforcement Learning
GroundingLanguagetoEntitiesandDynamicsforGeneralizationinReinforcementLearningAustinW.Hanjie1VictorZhong2KarthikNarasimhan1Abstractunseenentitiesordynamics(Narasimhanetal.,2018;Zhongetal.,2020).Whi...
for and to Language Dynamics
2023-11-16 18:46:5112882.19 MB21
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