"Improved"的相关文档 - 文库宝

开通VIP限时优惠

|

登录 | 注册

标签“Improved”的相关文档，共33条

Improved Regret Bound and Experience Replay in Regularized Policy Iteration
ImprovedRegretBoundandExperienceReplayinRegularizedPolicyIterationNevenaLazic´1DongYin1YasinAbbasi-Yadkori1CsabaSzepesva´ri12AbstractproposedbyEven-Daretal.(2009),wheretheagentse-lectspoliciesbyr...
and in Regret Improved Experience
2023-11-16 18:47:029904.02 MB11
下载文档
Improved, Deterministic Smoothing for L_1 Certified Robustness
Improved,DeterministicSmoothingfor1CertiﬁedRobustnessAlexanderLevine1SoheilFeizi1Abstracthaviorofmachinelearningsystemsundersmallinputper-turbations(Szegedyetal.,2013;Goodfellowetal.,2014;Randomiz...
for Improved Robustness Certified Smoothing
2023-11-16 18:47:0210671.76 MB10
下载文档
Improved Regret Bounds of Bilinear Bandits using Action Space Analysis
ImprovedRegretBoundsofBilinearBanditsusingActionSpaceAnalysisKyoungseokJang1Kwang-SungJun2Se-YoungYun3WanmoKang1Abstractarrangecouplesbasedontheirexperiencestogetbetterrat-ingsandrewards.Balancinge...
of Using Bandits Regret bounds
2023-11-16 18:47:021468446.11 KB3
下载文档
Improved Contrastive Divergence Training of Energy-Based Models
ImprovedContrastiveDivergenceTrainingofEnergy-BasedModelsYilunDu1ShuangLi1JoshuaTenenbaum1IgorMordatch2AbstractFigure1:(Left)128x128samplesonunconditionalCelebA-HQ.(Right)128x128samplesonunconditio...
of Models Improved Energy-Based Training
2023-11-16 18:47:019928.08 MB13
下载文档
Improved OOD Generalization via Adversarial Training and Pretraing
ImprovedOODGeneralizationviaAdversarialTrainingandPre-trainingMingyangYi12†LuHou3JiachengSun3LifengShang3XinJiang3QunLiu3Zhi-MingMa12Abstractmanceofthemodelonthedatafromashifteddistributionaroundt...
Adversarial and via generalization Improved
2023-11-16 18:47:01916594.25 KB11
下载文档
Improved Denoising Diffusion Probabilistic Models
ImprovedDenoisingDiffusionProbabilisticModelsAlexNichol1PrafullaDhariwal1AbstractandVAEs(Kingma&Welling,2013).Thisraisesvariousquestions,suchaswhetherDDPMsarecapableofcapturingDenoisingdiffusionpro...
Models Diffusion Probabilistic Improved Denoising
2023-11-16 18:47:0114341.11 MB15
下载文档
Improved Corruption Robust Algorithms for Episodic Reinforcement Learning
ImprovedCorruptionRobustAlgorithmsforEpisodicReinforcementLearningYifangChen1SimonS.Du1KevinJamieson1Abstractstageaccordingtotheunderlyingtransitionfunction.Westudyepisodicreinforcementlearningunde...
for Algorithms Reinforcement Robust Improved
2023-11-16 18:47:01874288.01 KB23
下载文档
Improved Algorithms for Agnostic Pool-based Active Classification
ImprovedAlgorithmsforAgnosticPool-basedActiveClassiﬁcationJulianKatz-Samuels1JifanZhang2LalitJain2KevinJamieson2Abstractlearningmethodsrequirethatthisdatabelabeledandreli-ablelabelsarecostlysincet...
Active for Algorithms Classification Improved
2023-11-16 18:47:0013141.87 MB29
下载文档
Improved Confidence Bounds for the Linear Logistic Model and Applications to Bandits
ImprovedConﬁdenceBoundsfortheLinearLogisticModelandApplicationstoBanditsKwang-SungJun1LalitJain2BlakeMason3HoussamNassif4Abstractafeaturevectorforeacharm.Acommonassumptionisthattherewardisanoisyli...
for the bounds Linear Improved
2023-11-16 18:47:00537460.77 KB9
下载文档
Graph Convolution for Semi-Supervised Classification Improved Linear Separability and Out-of-Distribution Generalization
GraphConvolutionforSemi-SupervisedClassiﬁcation:ImprovedLinearSeparabilityandOut-of-DistributionGeneralizationAseemBaranwal1KimonFountoulakis1AukoshJagannath2Abstractetal.,2016),andclassifyingtype...
for Graph Classification Convolution Linear
2023-11-16 18:46:5019657.81 MB18
下载文档
Dense for the Price of Sparse Improved Performance of Sparsely Initialized Networks via a Subspace Offset
DenseforthePriceofSparse:ImprovedPerformanceofSparselyInitializedNetworksviaaSubspaceOffsetIlanPrice12JaredTanner12Abstract1.1.CompetingPrioritiesforSparseNetworksThatneuralnetworksmaybeprunedtohig...
of for Sparse the Improved
2023-11-16 18:31:038851.86 MB22
下载文档
Clustered Sampling Low-Variance and Improved Representativity for Clients Selection in Federated Learning
ClusteredSampling:Low-VarianceandImprovedRepresentativityforClientsSelectioninFederatedLearningYannFraboni12RichardVidal2LaetitiaKameni2MarcoLorenzi1Abstractsametime.Theseconsiderationsledtosigniﬁ...
for Sampling and Improved Low-Variance
2023-11-16 18:11:21957494.61 KB23
下载文档
AlphaNet Improved Training of Supernets with Alpha-Divergence
AlphaNet:ImprovedTrainingofSupernetswithAlpha-DivergenceDilinWang1ChengyueGong2MengLi1QiangLiu2VikasChandra1AbstractNeuralarchitecturesearch(NAS)automatestheneuralnet-workdesignbyexploringanenormou...
of with Improved Training AlphaNet
2023-11-16 18:00:297525.57 MB26
下载文档
Uncertainty-Aware Lookahead Factor Models for Improved Quantitative Investing
Uncertainty-AwareLookaheadFactorModelsforQuantitativeInvestingLakshayChauhan1JohnAlberg1ZacharyC.Lipton23Abstract2016;McGroartyetal.,2018).Onthescaleofdays,priceﬂuctuationmightbedrivenbythenewscyc...
for Models Improved Quantitative Factor
2023-11-14 21:46:5315913.05 MB25
下载文档
Improved Sleeping Bandits with Stochastic Action Sets and Adversarial Rewards
ImprovedSleepingBanditswithStochasticActionsSetsandAdversarialRewardsAadirupaSaha1PierreGaillard2MichalValko3Abstractetal.,2012).Howeverinvariousrealworldapplications,thedecisionspace(setofarmsA)of...
with Stochastic Bandits Improved Action
2023-11-14 21:44:35703489.72 KB18
下载文档
Improved Optimistic Algorithms for Logistic Bandits
ImprovedOptimisticAlgorithmsforLogisticBanditsLouisFaury12MarcAbeille1Cle´mentCalauze`nes1OlivierFercoq2Abstractetal.(2017)andreferencestherein),itspracticalinterestislimitedbythelinearstructureof...
for Algorithms Bandits Improved Optimistic
2023-11-14 21:44:351273437.94 KB2
下载文档
Improved Bounds on Minimax Regret under Logarithmic Loss via Self-Concordance
ImprovedBoundsonMinimaxRegretunderLogarithmicLossviaSelf-ConcordanceBlairBilodeau123DylanJ.Foster4DanielM.Roy123AbstractTheloglosspenalizestheplayerbasedonhowmuchprob-abilitymasstheyplaceontheactua...
on under Regret bounds Improved
2023-11-14 21:44:341058393.3 KB18
下载文档
Improved Communication Cost in Distributed PageRank Computation – A Theoretical Study
ImprovedCommunicationCostinDistributedPageRankComputation–ATheoreticalStudySiqiangLuo1AbstractNeumannetal.,2011;Ponzetto&Strube,2007).GivenagraphGofnnodesandaprobabilityα∈(0,1),thePageRankisawid...
Distributed in Computation Communication Improved
2023-11-14 21:44:341936522.59 KB11
下载文档
SGD General Analysis and Improved Rates
SGD:GeneralAnalysisandImprovedRatesRobertM.Gower1NicolasLoizou2XunQian3AlibekSailanbayev3EgorShulgin4PeterRichta´rik324Abstractwhereeachfi:Rd→Rissmooth(butnotnecessarilyconvex).Further,weassumeth...
and Analysis General Improved Rates
2023-11-13 14:48:321676898.43 KB1
下载文档
Random Matrix Improved Covariance Estimation for a Large Class of Metrics
RandomMatrixImprovedCovarianceEstimationforaLargeClassofMetricsMalikTiomoko12FlorentBouchard3GuillaumeGinolhac3RomainCouillet21AbstractconstraintswithLASSOandgraphicalLASSO-basedap-proaches(Friedma...
for Matrix random Estimation Improved
2023-11-13 14:48:201164361.49 KB2
下载文档

首页上页 1 2 下页尾页

确认删除?

VIP会员服务
限时5折优惠