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标签“with”的相关文档，共634条

MetaCURE Meta Reinforcement Learning with Empowerment-Driven Exploration
MetaCURE:MetaReinforcementLearningwithEmpowerment-DrivenExplorationJinZhang1JianhaoWang1HaoHu1TongChen1YingfengChen2ChangjieFan2ChongjieZhang1Abstractwithsparserewardsremainschallenging,astask-rele...
Learning with Reinforcement Exploration Meta
2023-11-16 19:05:1716072.19 MB13
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Meta-learning Hyperparameter Performance Prediction with Neural Processes
Meta-learningHyperparameterPerformancePredictionwithNeuralProcessesYingWei1PeilinZhao2JunzhouHuang2AbstractFreefromthelimitationsofexhaustivesearch(Bergstra&Bengio,2012)beingcomputationallyexpensiv...
Neural with Processes Prediction Hyperparameter
2023-11-16 19:05:1711961.48 MB6
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Matrix Completion with Model-free Weighting
MatrixCompletionwithModel-freeWeightingJiayiWang1RaymondK.W.Wong1XiaojunMao2KwunChuenGaryChan3Abstractguptaetal.,2021)andquantumstatetomography(Wang,2013;Caietal.,2016).Matrixcompletionhasbeenpop-I...
Matrix Completion with Model-Free Weighting
2023-11-16 19:05:15803332.49 KB21
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MARINA Faster Non-Convex Distributed Learning with Compression
MARINA:FasterNon-ConvexDistributedLearningwithCompressionEduardGorbunov123KonstantinBurlachenko3ZhizeLi3PeterRichta´rik3Abstractmentofnewefﬁcientmethodsfornon-convexoptimizationproblems(Danilovae...
Learning Distributed with Faster Non-convex
2023-11-16 19:05:147911.43 MB4
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Logarithmic Regret for Reinforcement Learning with Linear Function Approximation
LogarithmicRegretforReinforcementLearningwithLinearFunctionApproximationJiafanHe1DongruoZhou1QuanquanGu1AbstractAcommonapproachtocopewithhigh-dimensionalstateandactionspacesistoutilizefunctionappro...
Learning for with Reinforcement Regret
2023-11-16 19:05:101276340.76 KB17
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Local Correlation Clustering with Asymmetric Classification Errors
LocalCorrelationClusteringwithAsymmetricClassiﬁcationErrorsJafarJafarov1SanchitKalhan2KonstantinMakarychev2YuryMakarychev3Abstractteringproblemhasfounduseinavarietyofapplications,suchasco-referenc...
with Local Asymmetric Clustering Classification
2023-11-16 19:05:091530334.59 KB19
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Lipschitz normalization for self-attention layers with application to graph neural networks
LipschitzNormalizationforSelf-AttentionLayerswithApplicationtoGraphNeuralNetworksGeorgeDasoulas12KevinScaman1AladinVirmaux1Abstractclassification(Velickovicetal.,2018;Lietal.,2016)andcomputervision...
for with Lipschitz Normalization Application
2023-11-16 19:05:098452.28 MB19
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Link Prediction with Persistent Homology An Interactive View
LinkPredictionwithPersistentHomology:AnInteractiveViewZuoyuYan1TengfeiMa2LiangcaiGao1ZhiTang1ChaoChen3Abstractdistributionsoflinks,e.g.,nodeswithsimilarconnectivityfeaturestendtobeconnected.Betterp...
An with Persistent Homology Prediction
2023-11-16 19:05:08677647.13 KB19
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Learning Optimal Auctions with Correlated Valuations from Samples
LearningOptimalAuctionswithCorrelatedValuationsfromSamplesChunxueYang1XiaohuiBei1Abstractsufﬁcientandnecessarytoguaranteenear-optimalexpectedrevenue.Consequently,oneactivelineofresearchappliesInsi...
Learning from with Optimal Correlated
2023-11-16 19:05:03933337.84 KB20
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Learning Online Algorithms with Distributional Advice
LearningOnlineAlgorithmswithDistributionalAdviceIliasDiakonikolas1VasilisKontonis1ChristosTzamos1AliVakilian2NikosZariﬁs1Abstractversary(Koutsoupias&Papadimitriou,2000).Amorere-centlineofworkstudi...
Learning Online Algorithms with Distributional
2023-11-16 19:05:021693320.95 KB14
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Learning in Nonzero-Sum Stochastic Games with Potentials
LearninginNonzero-SumStochasticGameswithPotentialsDavidMguni1YutongWu2YaliDu3YaodongYang13ZiyiWang2MinneLi3YingWen4JoelJennings1JunWang3Abstractautonomousvehiclesseekingtoarriveattheirindividualdes...
Learning with Stochastic in Games
2023-11-16 19:05:019171.65 MB5
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Learning from Noisy Labels with No Change to the Training Process
LearningfromNoisyLabelswithNoChangetotheTrainingProcessMingyuanZhang1JaneLee2ShivaniAgarwal1Abstract1.IntroductionTherehasbeenmuchinterestinrecentyearsInmanyapplicationsofmachinelearning,onereceive...
Learning from with Labels Noisy
2023-11-16 19:05:0110431.4 MB18
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Learning from Nested Data with Ornstein Auto-Encoders
LearningfromNestedDatawithOrnsteinAuto-EncodersYoungwonChoi12SungdongLee1Joong-HoWon1Abstracttureforeachdigit.Inmulticenterelectronichealthrecords,patientsarenestedwithinahospital.Forsuchnesteddata...
Learning from with Data Auto-Encoders
2023-11-16 19:05:009652.14 MB3
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Model Performance Scaling with Multiple Data Sources
ModelPerformanceScalingwithMultipleDataSourcesTatsunoriHashimoto1Abstractprovidespowerfultoolstoimproveandevaluatemodelbe-havior,butalsoposesanadditionalchallenge:whatistheReal-worldmachinelearning...
with Model Data Multiple Scaling
2023-11-16 19:04:561591686.29 KB6
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Instabilities of Offline RL with Pre-Trained Neural Representation
InstabilitiesofOfﬂineRLwithPre-TrainedNeuralRepresentationRuosongWang1YifanWu1RuslanSalakhutdinov1ShamM.Kakade23Abstract2018;Wangetal.,2018;Yuetal.,2019);itisseeingmuchrecentinterestduetothelargea...
of Neural with RL Offline
2023-11-16 18:47:0411021.83 MB27
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Inferring serial correlation with dynamic backgrounds
InferringserialcorrelationwithdynamicbackgroundsSongWei1YaoXie1DobromirRahnev2Abstracttheseinﬂuencestakeaspeciﬁcparametricform.Whilesome(e.g.,learningorfatigue)arelikelytobemonotonic,Sequentialda...
with Dynamic Correlation Inferring serial
2023-11-16 18:47:0415574.18 MB6
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Inference for Network Regression Models with Community Structure
InferenceforNetworkRegressionModelswithCommunityStructureMengjiePan1TylerH.McCormick2BaileyK.Fosdick3AbstractInthiswork,wefocusonacasewherecontinuousrelationsbetweenpairsofactorsaremodeledasalinear...
for Inference Models with Regression
2023-11-16 18:47:031682934.67 KB26
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Incentivizing Compliance with Algorithmic Instruments
IncentivizingCompliancewithAlgorithmicInstrumentsDanielNgo1LoganStapleton1VasilisSyrgkanis2ZhiweiStevenWu3Abstractcausaleffectsrelyonrandomizedexperiments,whichran-domlyassigneachindividualinapopul...
with Algorithmic Instruments Incentivizing Compliance
2023-11-16 18:47:031550464.04 KB23
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Incentivized Bandit Learning with Self-Reinforcing User Preferences
IncentivizedBanditLearningwithSelf-ReinforcingUserPreferencesTianchenZhou1JiaLiu1ChaoshengDong2JingyuanDeng2Abstractaccumulatesmorepositivefeedbacks.Forexample,onamovierentalwebsite,currentcustomer...
Learning with Preferences Bandit User
2023-11-16 18:47:031052641.59 KB17
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Improving Molecular Graph Neural Network Explainability with Orthonormalization and Induced Sparsity
ImprovingMolecularGraphNeuralNetworkExplainabilitywithOrthonormalizationandInducedSparsityRyanHenderson1Djork-Arne´Clevert1FlorianeMontanari1AbstractHowever,theopaquenatureofartiﬁcialneuralnetwor...
Neural with Graph Improving Network
2023-11-16 18:47:0314412.04 MB28
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