"in"的相关文档

标签“in”的相关文档，共437条

Learning to Collaborate in Markov Decision Processes
LearningtoCollaborateinMarkovDecisionProcessesGoranRadanovic1RatiDevidze2DavidC.Parkes1AdishSingla2AbstractWeexpectthatusefulcollaborationwillcomeaboutthroughAIagentsthatcanadapttothebehaviorofuser...
Learning Markov in Decision Processes
2023-11-13 14:47:411749320.08 KB9
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Learning to bid in revenue-maximizing auctions
Learningtobidinrevenue-maximizingauctionsThomasNedelec12NoureddineElKaroui31VianneyPerchet21Abstractmaximizingauctions.Thisisanewargumentsupport-ingtheWilsondoctrine(Wilson,1987)claimingthatdata-We...
Learning in to bid revenue-maximizing
2023-11-13 14:47:411508711.42 KB17
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Learning and Data Selection in Big Datasets
LearningandDataSelectioninBigDatasetsHosseinS.Ghadikolaei1HadiGhauch12CarloFischione1MikaelSkoglund1Abstractmodel.Studyingitsbehavioraroundthosecriticalsampleshelpsustobetterunderstandtheunknownmod...
Learning Selection and Data in
2023-11-13 14:47:361180392.28 KB19
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Kernel-Based Reinforcement Learning in Robust Markov Decision Processes
Kernel-BasedReinforcementLearninginRobustMarkovDecisionProcessesShiauHongLim1ArnaudAutef2AbstractThisclassincludeskernelaveraging,k-nearest-neighbor,weightedk-nearestneighbor,Bezierpatches,linearin...
Learning Reinforcement Markov Robust in
2023-11-13 14:47:341223480.15 KB3
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information-Theoretic Considerations in Batch Reinforcement Learning
information-TheoreticConsiderationsinBatchReinforcementLearningJinglinChen1NanJiang1AbstractwhentheyworkiscentraltoourunderstandingofRL.Ex-istingworksthatanalyzeerrorpropagationandﬁnitesam-Value-f...
Learning Reinforcement in Batch Information-theoretic
2023-11-13 14:47:311249389.51 KB8
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inferring Heterogeneous Causal Effects in Presence of Spatial Confounding
inferringHeterogeneousCausalEffectsinPresenceofSpatialConfoundingMuhammadOsama1DaveZachariah1ThomasB.Scho¨n1Abstract1.5cWeaddresstheproblemofinferringthecausal1effectofanexposureonanoutcomeacrosss...
of in Causal Heterogeneous Effects
2023-11-13 14:47:317123.57 MB18
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Imputing Missing Events in Continuous-Time Event Streams
ImputingMissingEventsinContinuous-TimeEventStreamsHongyuanMei1GuanghuiQin2JasonEisner1Abstract•Medicalrecords.Somepatientsrecorddetailedsymp-toms,self-administeredmedications,diet,andsleep.Eventsi...
Streams in Event Continuous-Time Missing
2023-11-13 14:47:3115451.59 MB1
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Humor in Word Embeddings Cockamamie Gobbledegook for Nincompoops
HumorinWordEmbeddings:CockamamieGobbledegookforNincompoopsWARNinG:Thispapercontainswordsthatpeopleratedhumorousincludingmanythatareoffensiveinnature.LimorGultchin1GenevievePatterson2NancyBaym3Natha...
word for Embeddings in Humor
2023-11-13 14:47:26670549.52 KB17
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Grid-Wise Control for Multi-Agent Reinforcement Learning in Video Game AI
Grid-WiseControlforMulti-AgentReinforcementLearninginVideoGameAILeiHan1PengSun1YaliDu23JiechaoXiong1QingWang1XinghaiSun1HanLiu4TongZhang5Abstractetal.,2016),etc.Amongthese,RLingameAIresearchattract...
Learning for Reinforcement in Multi-Agent
2023-11-13 14:47:2312346.17 MB13
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Global Convergence of Block Coordinate Descent in Deep Learning
GlobalConvergenceofBlockCoordinateDescentinDeepLearningJinshanZeng12TimTsz-KitLau3Shao-BoLin4YuanYao2AbstractinGogames(Silveretal.,2016).DeeplearninghasarousedextensiveattentiondueThepracticaloptim...
of Coordinate Descent Convergence in
2023-11-13 14:47:19809553.13 KB5
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Geometry and Symmetry in Short-and-Sparse Deconvolution
GeometryandSymmetryinShort-and-SparseDeconvolutionHan-WenKuo12YuqianZhang3YensonLau12JohnWright124AbstractMotivatedbytheseandrelatedproblemsinimagingandWestudytheShort-and-Sparse(SaS)deconvo-scient...
and in Geometry Symmetry Short-and-Sparse
2023-11-13 14:47:1912311.25 MB26
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Garbage in, Reward Out Bootstrapping Exploration in Multi-Armed Bandits
Garbagein,RewardOut:BootstrappingExplorationinMulti-ArmedBanditsBranislavKveton1CsabaSzepesva´ri23SharanVaswani4ZhengWen5MohammadGhavamzadeh6TorLattimore2Abstract2013b)isageneralizationofamulti-ar...
in in Exploration Reward Garbage
2023-11-13 14:47:161119798.95 KB26
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Garbage in, Reward Out Bootstrapping Exploration in Multi-Armed Bandits
Garbagein,RewardOut:BootstrappingExplorationinMulti-ArmedBanditsBranislavKveton1CsabaSzepesva´ri23SharanVaswani4ZhengWen5MohammadGhavamzadeh6TorLattimore2Abstract2013b)isageneralizationofamulti-ar...
in in Exploration Reward Garbage
2023-11-13 14:47:161119798.95 KB26
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Flat Metric Minimization with Applications in Generative Modeling
FlatMetricMinimizationwithApplicationsinGenerativeModelingThomasMo¨llenhoff1DanielCremers1Abstractfromlefttorightwevarythelatentcodez1(time)WetakethenovelperspectivetoviewdatanotFigure1.Discoverin...
Generative with in Applications Minimization
2023-11-13 14:47:139901.04 MB26
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Fault Tolerance in Iterative-Convergent Machine Learning
FaultToleranceinIterative-ConvergentMachineLearningAurickQiao12BryonAragam3BingjingZhang1EricP.Xing123AbstractMachinelearning(ML)trainingalgorithmsoftenpossessaninherentself-correctingbehaviordueto...
Learning in Machine Fault Tolerance
2023-11-13 14:47:1113201.04 MB15
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Fast Direct Search in an Optimally Compressed Continuous Target Space for Efficient Multi-Label Active Learning
FastDirectSearchinanOptimallyCompressedContinuousTargetSpaceforEfﬁcientMulti-LabelActiveLearningWeishiShi1QiYu1Abstractretrievalandorganization.UsersfromQ&Awebsites,suchasstackoverﬂowandQuora,are...
An in Fast Compressed Search
2023-11-13 14:47:1014091.31 MB23
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Exploiting Worker Correlation for Label Aggregation in Crowdsourcing
ExploitingWorkerCorrelationforLabelAggregationinCrowdsourcingYuanLi1BenjaminI.P.Rubinstein1TrevorCohn1Abstractequalvotestowardsconsensus.Numerousprobabilisticmodelshaveemergedthatparameteriseworker...
for Aggregation in Exploiting Label
2023-11-13 14:47:061648500.17 KB13
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Estimating information Flow in Deep Neural Networks
EstimatinginformationFlowinDeepNeuralNetworksZivGoldfeld12EwoutvandenBerg23KristjanGreenewald23IgorMelnyk23NamNguyen23BrianKingsbury23YuryPolyanskiy12Abstractetal.,2018;Achille&Soatto,2018).Mutuali...
Neural Networks Deep in Estimating
2023-11-13 14:47:0516857.47 MB20
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EigenDamage Structured Pruning in the Kronecker-Factored Eigenbasis
EigenDamage:StructuredPruningintheKronecker-FactoredEigenbasisChaoqiWang12RogerGrosse12SanjaFidler123GuodongZhang12AbstractOriginalWeightspaceinput(32x32x512)Reducingthetesttimeresourcerequirements...
the in Structured Pruning EigenDamage
2023-11-13 14:47:028032.29 MB10
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Dynamic Weights in Multi-Objective Deep Reinforcement Learning
DynamicWeightsinMulti-ObjectiveDeepReinforcementLearningAxelAbels12DiederikM.Roijers3TomLenaerts12AnnNowe´2DenisSteckelmacher2Abstractasalinearscalarizationwithweightsperobjectivethatareknowninadv...
Learning Reinforcement Deep in Dynamic
2023-11-13 14:47:0012381.85 MB11
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