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标签“for”的相关文档，共1143条

The Price of Differential Privacy for Online Learning
ThePriceofDifferentialPrivacyforOnlineLearningNamanAgarwal1KaranSingh1Abstractthefullinformationandpartialinformation(bandit)set-tings.ThisresultimprovestheknownbestregretboundsWedesigndifferential...
of for Online the Differential
2023-11-12 20:45:23890480.33 KB1
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Tensor-Train Recurrent Neural Networks for Video Classification
Tensor-TrainRecurrentNeuralNetworksforVideoClassiﬁcationYinchongYang12DenisKrompass2VolkerTresp12AbstractralNetworkarchitectures.ThissuccessmotivateseffortstoalsoapplytheseRNNstovideodata,sinceavi...
Neural for Networks Recurrent Classification
2023-11-12 20:45:222002627.93 KB24
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Sub-sampled Cubic Regularization for Non-convex Optimization
Sub-sampledCubicRegularizationforNon-convexOptimizationJonasMoritzKohler1AurelienLucchi1Abstractlearningwhennisverylarge.Itsconvergenceproper-tiesarewellunderstoodforconvexfunctions,whichariseWecon...
for Optimization Non-convex Sub-sampled Cubic
2023-11-12 20:45:211169618.76 KB10
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Stochastic Variance Reduction Methods for Policy Evaluation
StochasticVarianceReductionMethodsforPolicyEvaluationSimonS.Du1JianshuChen2LihongLi2LinXiao2DengyongZhou2Abstractimportantinformationfortheagenttooptimizeitspolicy.forexample,policy-iterationalgori...
for Methods Stochastic Variance Reduction
2023-11-12 20:45:2115731.34 MB22
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Strong NP-Hardness for Sparse Optimization with Concave Penalty Functions
StrongNP-HardnessforSparseOptimizationwithConcavePenaltyFunctionsYichenChen1DongdongGe2MengdiWang1ZizhuoWang3YinyuYe4HaoYin4AbstractWeareinterestedinthecomputationalcomplexityofProb-lem1undergenera...
for Sparse Optimization with Strong
2023-11-12 20:45:201022237.77 KB5
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Stochastic Gradient MCMC Methods for Hidden Markov Models
StochasticGradientMCMCMethodsforHiddenMarkovModelsYi-AnMa1NicholasJ.Foti1EmilyB.Fox1Abstractdistributioninthepresenceofsuchnoise.Signiﬁcanthead-wayhasbeenmadeindevelopingsuchcorrectSG-MCMCStochast...
for Gradient Hidden Markov Methods
2023-11-12 20:45:2011042.37 MB9
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Stochastic DCA for the Large-sum of Non-convex Functions Problem and its Application to Group Variable Selection in Classification
StochasticDCAfortheLarge-sumofNon-convexFunctionsProblemanditsApplicationtoGroupVariableSelectioninClassiﬁcationHoaiAnLeThi1HoaiMinhLe1DuyNhatPhan1BachTran1AbstractNowadays,thegrowthoftechnologies...
of for Stochastic the Non-convex
2023-11-12 20:45:191480274.72 KB3
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Stochastic Adaptive Quasi-Newton Methods for Minimizing Expected Values
StochasticAdaptiveQuasi-NewtonMethodsforMinimizingExpectedValuesChaoxuZhou∗1WenboGao∗1DonaldGoldfarb1AbstractinfeasibletoanalyticallycomputeEf(x,ξ).ThiscanberesolvedbyreplacingtheexpectationEf(x...
Adaptive for Methods Stochastic Minimizing
2023-11-12 20:45:181230502.52 KB3
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Statistical Inference for Incomplete Ranking Data The Case of Rank-Dependent Coarsening
StatisticalInferenceforIncompleteRankingData:TheCaseofRank-DependentCoarseningMohsenAhmadiFahandar1EykeHu¨llermeier1Ine´sCouso2Abstract“items”),whereasnopreferencesarerevealedaboutthere-maining...
for Inference the Statistical Data
2023-11-12 20:45:181132263.47 KB28
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Stabilising Experience Replay for Deep Multi-Agent Reinforcement Learning
StabilisingExperienceReplayforDeepMulti-AgentReinforcementLearningJakobFoerster1NantasNardelli1GregoryFarquhar1TriantafyllosAfouras1Philip.H.S.Torr1PushmeetKohli2ShimonWhiteson1Abstractmulti-agents...
for Reinforcement Deep Multi-Agent Stabilising
2023-11-12 20:45:1715741.02 MB13
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Spherical Structured Feature Maps for Kernel Approximation
SphericalStructuredFeatureMapsforKernelApproximationYuemingLyu1Abstractdenotesthenonlinearfunction,W∈Rd×NisconstructedbyNi.i.dsamplesdrawnfromadistributiondeﬁnedbyWeproposeSphericalStructuredFea...
for Kernel Feature Approximation Structured
2023-11-12 20:45:161661761.96 KB24
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Source-Target Similarity Modelings for Multi-Source Transfer Gaussian Process Regression
Source-TargetSimilarityModelingsforMulti-SourceTransferGaussianProcessRegressionPengfeiWei12RamonSagarna12YipingKe12Yew-SoonOng12Chi-KeongGoh32Abstracttion(Tommasietal.,2014;Fangetal.,2015;Bhatteta...
for Gaussian Transfer Source-Target Similarity
2023-11-12 20:45:1514261.85 MB18
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Soft-DTW a Differentiable Loss Function for Time-Series
Soft-DTW:aDifferentiableLossFunctionforTime-SeriesMarcoCuturi1MathieuBlondel2AbstractInputOutputWeproposeinthispaperadifferentiablelearningFigure1.Giventheﬁrstpartofatimeseries,wetrainedtwolossbet...
for Time-series Differentiable Loss Soft-DTW
2023-11-12 20:45:151773603.36 KB25
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Sliced Wasserstein Kernel for Persistence Diagrams
SlicedWassersteinKernelforPersistenceDiagramsMathieuCarrie`re1MarcoCuturi2SteveOudot1Abstractafew.ThetoolsdevelopedinTDAarebuiltuponpersis-tenthomologytheory(Edelsbrunner&Harer,2010;Oudot,Persisten...
for Kernel Wasserstein Sliced Persistence
2023-11-12 20:45:158091.61 MB3
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Simultaneous Learning of Trees and Representations for Extreme Classification and Density Estimation
SimultaneousLearningofTreesandRepresentationsforExtremeClassiﬁcationandDensityEstimationYacineJernite1AnnaChoromanska1DavidSontag2AbstractHinton,2009),extrinsichierarchies(Morin&Bengio,2005)whichc...
Learning of for Representations and
2023-11-12 20:45:141396354.09 KB10
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Sharp Minima Can Generalize for Deep Nets
SharpMinimaCanGeneralizeforDeepNetsLaurentDinh1RazvanPascanu2SamyBengio3YoshuaBengio14Abstractapproximatecertainfunctions(e.g.Montufaretal.,2014;Raghuetal.,2016).Otherworks(e.gDauphinetal.,2014;Des...
for Deep Can Nets Generalize
2023-11-12 20:45:1412391.43 MB18
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Selective Inference for Sparse High-Order Interaction Models
SelectiveInferenceforSparseHigh-OrderInteractionModelsShinyaSuzumura1KazuyaNakagawa1YutaUmezu1KojiTsuda23IchiroTakeuchi13AbstractFigure1.Exampleofthetreestructureamonghigh-orderinterac-tionfeatures...
for Inference Sparse Models Selective
2023-11-12 20:45:131737806.93 KB26
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Scalable Generative Models for Multi-label Learning with Missing Labels
ScalableGenerativeModelsforMulti-labelLearningwithMissingLabelsVikasJain1NirbhayModhe1PiyushRai1Abstracttisingandrecommendersystems(Prabhu&Varma,2014;Jainetal.,2016),etc.Wepresentascalable,generati...
Learning for Models Generative with
2023-11-12 20:45:111748448.86 KB5
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SARAH A Novel Method for Machine Learning Problems Using Stochastic Recursive Gradient
SARAH:ANovelMethodforMachineLearningProblemsUsingStochasticRecursiveGradientLamM.Nguyen1JieLiu1KatyaScheinberg12MartinTaka´cˇ1AbstractProblemsofthistypearisefrequentlyinsupervisedlearn-Inthispape...
Learning for Machine Method SARAH
2023-11-12 20:45:11513557.46 KB12
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Safety-Aware Algorithms for Adversarial Contextual Bandit
Safety-AwareAlgorithmsforAdversarialContextualBandit122WenSunDebadeeptaDeyAshishKapoorAbstractside-effectofanewtreatmentmustbetakenintoconsidera-tionforpatients’safety.Ingeneraltheseapplicationswi...
for Adversarial Algorithms Contextual Bandit
2023-11-12 20:45:111234789.72 KB10
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