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标签“of”的相关文档，共557条

Taylor Expansion of Discount Factors
TaylorExpansionsofDiscountFactorsYunhaoTang1MarkRowland2Re´miMunos3MichalValko3Abstractexample,TcouldbetheﬁrsttimetheMDPgetsintoatermi-Inpracticalreinforcementlearning(RL),thedis-nalstate(e.g.,ar...
of Taylor Factors Discount Expansion
2023-11-16 19:42:0116601.41 MB16
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Systematic Analysis of Cluster Similarity Indices How to Validate Validation Measures
SystematicAnalysisofClusterSimilarityIndices:HowtoValidateValidationMeasuresMartijnGo¨sgens1AlexeyTikhonov2LiudmilaProkhorenkova345Abstracttobedenselyinterconnected.Clusteringisusedacrossvariousap...
of Analysis How Indices Similarity
2023-11-16 19:42:001338343.65 KB23
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Stability and Convergence of Stochastic Gradient Clipping Beyond Lipschitz Continuity and Smoothness
StabilityandConvergenceofStochasticGradientClipping:BeyondLipschitzContinuityandSmoothnessVienV.Mai1MikaelJohansson1Abstractproblemsareatthecoreofmanymachine-learningappli-cations,andareoftensolved...
of and Stability Gradient Convergence
2023-11-16 19:41:561384812.09 KB11
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Stability and Generalization of Stochastic Gradient Methods for Minimax Problems
StabilityandGeneralizationofStochasticGradientMethodsforMinimaxProblemsYunwenLei1ZhenhuanYang2TianbaoYang3YimingYing2Abstracting(Goodfellowetal.,2014),robustoptimization(Chenetal.,2017;Namkoong&Duc...
of and Stability Gradient Methods
2023-11-16 19:41:56899903.55 KB20
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Slot Machines Discovering Winning Combinations of Random Weights in Neural Networks
SlotMachines:DiscoveringWinningCombinationsofRandomWeightsinNeuralNetworksMaxwellMbabillaAladago1LorenzoTorresani1AbstractLearningtypicallyinvolveseitheroptimizinganetworkfromscratch(Krizhevskyetal...
of random Discovering Machines Winning
2023-11-16 19:41:506051.35 MB13
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SGA A Robust Algorithm for Partial Recovery of Tree-Structured Graphical Models with Noisy Samples
SGA:ARobustAlgorithmforPartialRecoveryofTree-StructuredGraphicalModelswithNoisySamplesAnshooTandon1AldricJ.Y.Han2VincentY.F.Tan12Abstractnetworks(Lauritzen,1996)andcomputervision(Besag,1986).Forade...
of for Algorithm Robust Recovery
2023-11-16 19:41:461076710.72 KB21
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SECANT Self-Expert Cloning for Zero-Shot Generalization of Visual Policies
SECANT:Self-ExpertCloningforZero-ShotGeneralizationofVisualPoliciesLinxiFan12GuanzhiWang1De-AnHuang2ZhidingYu2LiFei-Fei1YukeZhu32AnimaAnandkumar42AbstractTrainingZero-shotEvaluationGeneralizationha...
of for Zero-Shot generalization SECANT
2023-11-16 19:41:4310818.66 MB15
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Scaling Properties of Deep Residual Networks
ScalingPropertiesofDeepResidualNetworksAlain–SamCohen1RamaCont2AlainRossier21RenyuanXu2Abstractwhereh(kL)isthehiddenstateatlayerk=0,...,L,h(0L)=x∈Rdtheinput,h(LL)∈Rdtheoutput,σ:R→Risanon-Resid...
of Networks Deep Scaling Properties
2023-11-16 19:41:421301834.44 KB26
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Scalable Computations of Wasserstein Barycenter via Input Convex Neural Networks
ScalableComputationsofWassersteinBarycenterviaInputConvexNeuralNetworksJiaojiaofan1AmirhosseinTaghvaei2YongxinChen1Abstractthepastfewyears,ithasfoundapplicationsinseveralma-chinelearningproblems.Fo...
of via Input Wasserstein Scalable
2023-11-16 19:41:419047.67 MB11
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Scalable Evaluation of Multi-Agent Reinforcement Learning with Melting Pot
ScalableEvaluationofMulti-AgentReinforcementLearningwithMeltingPotJoelZ.Leibo1EdgarDue´n˜ez-Guzma´n1AlexanderSashaVezhnevets1JohnP.Agapiou1PeterSunehag1RaphaelKoster1JaydMatyas1CharlesBeattie1Ig...
Learning of with Reinforcement Evaluation
2023-11-16 19:41:4117792.13 MB5
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Sample-Optimal PAC Learning of Halfspaces with Malicious Noise
Sample-OptimalPACLearningofHalfspaceswithMaliciousNoiseJieShen1AbstractGenerallyspeaking,alargebodyofexistingworksstudytheproblemoflearninghalfspacesunderlabelnoise.Thisin-WestudyefﬁcientPAClearni...
Learning of with PAC Sample-Optimal
2023-11-16 19:41:401234286.92 KB8
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Sample Complexity of Robust Linear Classification on Separated Data
SampleComplexityofRobustLinearClassiﬁcationonSeparatedDataRobiBhattacharjee1SomeshJha2KamalikaChaudhuri1Abstractthusaimstoﬁndaclassiﬁerthatmaximizesaccuracyonexamplesthataredistancerormorefromth...
of Complexity on Robust Classification
2023-11-16 19:41:401062390.12 KB20
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Revealing the Structure of Deep Neural Networks via Convex Duality
RevealingtheStructureofDeepNeuralNetworksviaConvexDualityTolgaErgen1MertPilanci1Abstractwheretwo-layerReLUnetworkswiththeminimumEu-clideannormsolutionandzerotrainingerrorareprovenWestudyregularized...
of Neural Networks Deep the
2023-11-16 19:41:3312261.51 MB22
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Re-understanding Finite-State Representations of Recurrent Policy Networks
Re-understandingFinite-StateRepresentationsofRecurrentPolicyNetworksMohamadH.Danesh1AnuragKoul1AlanFern1SaeedKhorram1Abstracttivehumaninterpretationoftheunderlying“strategicrole"oftheattended-toel...
of Representations Networks Recurrent Policy
2023-11-16 19:41:335781.68 MB6
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Representational aspects of depth and conditioning in normalizing flows
RepresentationalaspectsofdepthandconditioninginnormalizingﬂowsFredericKoehler1VirajMehta2AndrejRisteski3Abstract1.IntroductionNormalizingﬂowsareamongthemostpopularDeepgenerativemodelsareoneofthel...
of and in Conditioning Representational
2023-11-16 19:41:32701563.66 KB1
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Representation Matters Assessing the Importance of Subgroup Allocations in Training Data
RepresentationMatters:AssessingtheImportanceofSubgroupAllocationsinTrainingDataEstherRolf1TheodoraWorledge1BenjaminRecht1MichaelI.Jordan12AbstractOurworkaimstodevelopageneralunifyingperspectiveonth...
of the Representation Importance Matters
2023-11-16 19:41:311586609.25 KB13
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Reinforcement Learning of Implicit and Explicit Control Flow Instructions
ReinforcementLearningofImplicitandExplicitControlFlowinInstructionsEthanA.Brooks1JanarthananRajendran1RichardL.Lewis2SatinderSingh1Abstracttaskinstructionsthatrequiretheagenttolearncontrolﬂoweithe...
Learning of and Reinforcement Control
2023-11-16 19:41:309691.55 MB14
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Zoo-Tuning Adaptive Transfer from A Zoo of Models
Zoo-Tuning:AdaptiveTransferfromaZooofModelsYangShu1ZhiKou1ZhangjieCao1JianminWang1MingshengLong1Abstractleveragemodelspretrainedonlarge-scaledatasets(Rus-sakovskyetal.,2015)andﬁne-tunethemodelonth...
Adaptive of from Models Transfer
2023-11-16 19:41:295801.87 MB7
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WILDS A Benchmark of in-the-Wild Distribution Shifts
WILDS:ABenchmarkofin-the-WildDistributionShiftsPangWeiKoh1ShioriSagawa1HenrikMarklund1SangMichaelXie1MarvinZhang2AkshayBalsubramani1WeihuaHu1MichihiroYasunaga1RichardLanasPhillips3IrenaGao1TonyLee1...
of Distribution Benchmark Shifts WILDS
2023-11-16 19:41:277233.16 MB27
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When All We Need is a Piece of the Pie A Generic Framework for Optimizing Two-way Partial AUC
WhenAllWeNeedisaPieceofthePie:AGenericFrameworkforOptimizingTwo-wayPartialAUCZhiyongYang12QianqianXu3ShilongBao12YuanHe4XiaochunCao12QingmingHuang3567Abstractframework.TheAreaUndertheROCCurve(AUC)i...
of is When All We
2023-11-16 19:41:277931.76 MB27
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