"Methods"的相关文档 - 文库宝

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标签“Methods”的相关文档，共49条

Stochastic Sign Descent Methods New Algorithms and Better Theory
StochasticSignDescentMethods:NewAlgorithmsandBetterTheoryMherSafaryan1PeterRichtárik12Abstracthencethetrainingdataistypicallysplitandstoredacrossanumberofcomputenodescapableofworkinginparallel.Var...
and Algorithms Descent Methods Stochastic
2023-11-16 19:41:575441.69 MB1
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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 19:41:56898903.55 KB20
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Private Adaptive Gradient Methods for Convex Optimization
PrivateAdaptiveGradientMethodsforConvexOptimizationHilalAsi12JohnDuchi23AlirezaFallah41OmidJavidbakht5KunalTalwar5Abstractopingprivatevariantsofstochasticgradientdescent(SGD),wherealgorithmsguarant...
Adaptive for Optimization Gradient Methods
2023-11-16 19:28:318272.19 MB24
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First-Order Methods for Wasserstein Distributionally Robust MDP
First-OrderMethodsforWassersteinDistributionallyRobustMDPsJulienGrand-Cle´ment1ChristianKroer1Abstractpolicies,astheyoptimizeonlyfortheworst-casekernelre-alization,withoutincorporatingdistribution...
for Methods Robust Wasserstein Distributionally
2023-11-16 18:38:127522.5 MB8
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Fast Stochastic Bregman Gradient Methods Sharp Analysis and Variance Reduction
FastStochasticBregmanGradientMethods:SharpAnalysisandVarianceReductionRadu-AlexandruDragomir12MathieuEven23HadrienHendrikx23Abstractgoalistorecoveranunknownsignalfromalargenumberofnoisyobservations...
Gradient Analysis Methods Stochastic Fast
2023-11-16 18:38:098681.39 MB8
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Distributed Second Order Methods with Fast Rates and Compressed Communication
DistributedSecondOrderMethodswithFastRatesandCompressedCommunicationRustemIslamov12XunQian1PeterRichta´rik1Abstract1.IntroductionWedevelopseveralnewcommunication-efﬁcientTheprevalentparadigmfortr...
Distributed with Methods Fast Rates
2023-11-16 18:30:487673.99 MB28
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Classifying high-dimensional Gaussian mixtures Where kernel Methods fail and neural networks succeed
Classifyinghigh-dimensionalGaussianmixtures:WherekernelMethodsfailandneuralnetworkssucceedMariaReﬁnetti12SebastianGoldt3FlorentKrzakala2LenkaZdeborová4Abstractetal.,2018;Allen-Zhuetal.,2018;Li&Li...
Kernel Methods Gaussian High-dimensional Mixtures
2023-11-16 18:11:218613.03 MB17
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Consistent Nonparametric Methods for Network Assisted Covariate Estimation
ConsistentNonparametricMethodsforNetworkAssistedCovariateEstimationXueyuMao1DeepayanChakrabarti2PurnamritaSarkar3Abstractforinvestigatingprivacyinsocialnetworks,amongothers.Thus,ageneralsolutiontot...
for Methods Consistent Network Nonparametric
2023-11-16 18:11:1314013.8 MB24
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Approximation Theory Based Methods for RKHS Bandits
ApproximationTheoryBasedMethodsforRKHSBanditsShoTakemori1MasahiroSato1AbstracttheadversarialRKHSbanditproblem,wherealearnerinter-actswithasequenceofanyfunctionsfromtheRKHSwithTheRKHSbanditproblem(a...
for Approximation Methods Based Theory
2023-11-16 18:00:321830704.04 KB26
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Stochastic Hamiltonian Gradient Methods for Smooth Games
StochasticHamiltonianGradientMethodsforSmoothGamesNicolasLoizou1HugoBerard12AlexiaJolicoeur-Martineau1PascalVincent†12SimonLacoste-Julien†1IoannisMitliagkas†1Abstractforeveryx1∈Rd1andx2∈Rd2.We...
for Gradient Methods Stochastic Games
2023-11-14 21:46:3217011.97 MB12
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Quadratically Regularized Subgradient Methods for Weakly Convex Optimization with Weakly Convex Constraints
QuadraticallyRegularizedSubgradientMethodsforWeaklyConvexOptimizationwithWeaklyConvexConstraintsRunchaoMa1QihangLin1TianbaoYang2AbstractHere,weassumethatX⊂Rdisacompactconvexsetthatallowsforasimple...
for Methods Convex Regularized Weakly
2023-11-14 21:46:011070787.9 KB30
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Optimal Randomized First-Order Methods for Least-Squares Problems
OptimalRandomizedFirst-OrderMethodsforLeast-SquaresProblemsJonathanLacotte1MertPilanci1AbstractwhereA∈Rn×disagivendatamatrixwithndandb∈Rnisavectorofobservations.Forsimplicityofnotations,Weprovid...
for Methods Optimal Problems Randomized
2023-11-14 21:45:411628436.74 KB1
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Momentum-Based Policy Gradient Methods
Momentum-BasedPolicyGradientMethodsFeihuHuang1ShangqianGao1JianPei2HengHuang13Abstracttimesteps,andthenmaximizesthelong-termcumulativerewardstoobtainanoptimalpolicy.Duetoeasyimple-Inthepaper,weprop...
Gradient Methods Policy Momentum-Based
2023-11-14 21:45:131577939.2 KB25
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Mix-n-Match Ensemble and Compositional Methods for Uncertainty Calibration in Deep Learning
Mix-n-Match:EnsembleandCompositionalMethodsforUncertaintyCalibrationinDeepLearningJizeZhang1BhavyaKailkhura1T.Yong-JinHan1AbstractFigure1.(Top):(left)TemperatureScaling(TS)(Guoetal.,2017)isdata-ef...
for and Methods Uncertainty Ensemble
2023-11-14 21:45:1111192.38 MB16
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Kernel Methods for Cooperative Multi-Agent Learning with Delays
KernelMethodsforCooperativeContextualBanditsAbhimanyuDubey1AlexPentland1Abstracttoselectactionsthatminimizetheexpectedgroupregret:Cooperativemulti-agentdecisionmakinginvolvesTagroupofagentscooperat...
Learning for Kernel with Methods
2023-11-14 21:44:46767594.24 KB26
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Inexact Tensor Methods with Dynamic Accuracies
InexactTensorMethodswithDynamicAccuraciesNikitaDoikov1YuriiNesterov2Abstractberg,2018;Doikov&Richta´rik,2018;Wangetal.,2018;Zhouetal.,2019),whichhavebetterconvergencerate,thanInthispaper,westudyin...
with Methods Dynamic Tensor Inexact
2023-11-14 21:44:3912517.5 MB12
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Inertial Block Proximal Methods for Non-Convex Non-Smooth Optimization
InertialBlockProximalMethodsForNon-ConvexNon-SmoothOptimizationLeThiKhanhHien1NicolasGillis1PanagiotisPatrinos2Abstractbutpossiblynon-smoothnon-convexfunction,andr(x)=Weproposeinertialversionsofblo...
for Non-Smooth Methods Block Proximal
2023-11-14 21:44:381373874.58 KB10
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From Local SGD to Local Fixed Point Methods for Federated Learning
FromLocalSGDtoLocalFixed-PointMethodsforFederatedLearningGrigoryMalinovsky1DmitryKovalev2ElnurGasanov2LaurentCondat2PeterRichtárik2Abstractoneplaceistocommunicate,tokeepmovingtowardsthesolutionoft...
from Methods Local to Point
2023-11-14 21:44:17861888.68 KB19
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Estimating the Error of Randomized Newton Methods A Bootstrap Approach
EstimatingtheErrorofRandomizedNewtonMethods:ABootstrapApproachJessieX.T.Chen1MilesE.Lopes2AbstractresearchhasbeendrivenbythefactthatcomputinganinverseHessiantomachineprecisioncanbeverycostlyRandomi...
of Newton Methods the Estimating
2023-11-14 21:44:041358471.21 KB20
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Conditional gradient Methods for stochastically constrained convex minimization
ConditionalgradientMethodsforstochasticallyconstrainedconvexminimizationMaria-LuizaVladarean1AhmetAlacaoglu1Ya-PingHsieh1VolkanCevher1Abstractandoptimalcontrolproblemshavevariableslyinginapossi-bly...
for Gradient Methods Conditional Constrained
2023-11-14 21:43:3216713.38 MB21
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