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标签“with”的相关文档，共634条

Combining Pessimism with Optimism for Robust and Efficient Model-Based Deep Reinforcement Learning
CombiningPessimismwithOptimismforRobustandEfﬁcientModel-BasedDeepReinforcementLearningSebastianCuri1IlijaBogunovic1AndreasKrause1Abstractunpredictableways.Themaingoalisthentolearnapolicythatprovab...
for and with Robust Combining
2023-11-16 18:11:2316254.17 MB12
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Communication-Efficient Distributed Optimization with Quantized Preconditioners
Communication-EfﬁcientDistributedOptimizationwithQuantizedPreconditionersFoivosAlimisis1PeterDavies2DanAlistarh23AbstractInthispaper,wefocusonthecommunication(bit)com-plexityoftheclassicempiricalr...
Distributed Optimization with Communication-efficient Quantized
2023-11-16 18:11:22759419.03 KB28
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Combinatorial Blocking Bandits with Stochastic Delays
CombinatorialBlockingBanditswithStochasticDelaysAlexiaAtsidakou1OrestisPapadigenopoulos2SoumyaBasu3ConstantineCaramanis1SanjayShakkottai1AbstractCella&Cesa-Bianchi,2019).Thesevariantscaptureappli-c...
with Stochastic Bandits Combinatorial Delays
2023-11-16 18:11:221439591.24 KB20
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Collaborative Bayesian Optimization with Fair Regret
CollaborativeBayesianOptimizationwithFairRegretRachaelHweeLingSim1YehongZhang2BryanKianHsiangLow1PatrickJaillet3Abstractperformancebysequentiallyselectinginputqueriesforeval-uatingtheobjectivefunct...
Optimization with Bayesian Regret Collaborative
2023-11-16 18:11:2217823.69 MB11
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Classification with Rejection Based on Cost-sensitive Classification
ClassiﬁcationwithRejectionBasedonCost-sensitiveClassiﬁcationNontawatCharoenphakdee12ZhenghangCui12YivanZhang12MasashiSugiyama21Abstractsiﬁcationincriticalapplications.Thegoalofclassiﬁcationwith...
with on Classification Based Cost-Sensitive
2023-11-16 18:11:2018381.79 MB13
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Class2Simi A Noise Reduction Perspective on Learning with Noisy Labels
Class2Simi:ANoiseReductionPerspectiveonLearningwithNoisyLabelsSonghuaWu1XiaoboXia1TongliangLiu1BoHan2MingmingGong3NannanWang4HaifengLiu5GangNiu6Abstractdealwiththelabelnoiseprobleminpointwisemanner...
Learning with on Reduction Perspective
2023-11-16 18:11:20831994.26 KB4
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CATE Computation-aware Neural Architecture Encoding with Transformers
CATE:Computation-awareNeuralArchitectureEncodingwithTransformersShenYan1KaiqiangSong23FeiLiu2MiZhang1Abstract2020)ordesigningefﬁcientarchitecturesearchandevalu-ationmethods(Luoetal.,2018b;Shietal....
Neural with Architecture Encoding Transformers
2023-11-16 18:11:181386842.6 KB20
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Byzantine-Resilient High-Dimensional SGD with Local Iterations on Heterogeneous Data
Byzantine-ResilientHigh-DimensionalSGDwithLocalIterationsonHeterogeneousDataDeepeshData1SuhasDiggavi1Abstract(Deanetal.,2012)(e.g.,trainingamachinelearningmodelwithoutcollectingtheclients’data,whi...
with on Local High-dimensional SGD
2023-11-16 18:11:1715261.21 MB24
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ConViT Improving Vision Transformers with Soft Convolutional Inductive Biases
ConViT:ImprovingVisionTransformerswithSoftConvolutionalInductiveBiasesSte´phaned’Ascoli12HugoTouvron2MatthewL.Leavitt2AriS.Morcos2GiulioBiroli12LeventSagun2Abstract1.IntroductionConvolutionalarch...
with Convolutional Improving Soft Transformers
2023-11-16 18:11:166461.01 MB17
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Controlling Graph Dynamics with Reinforcement Learning and Graph Neural Networks
ControllingGraphDynamicswithReinforcementLearningandGraphNeuralNetworksEliA.Meirom1HaggaiMaron1ShieMannor1GalChechik1AbstractFigure1.Aviralinfectionprocessonagraphandaninterventionaimedtostopitsspr...
Learning and with Reinforcement Graph
2023-11-16 18:11:159641.96 MB5
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Bayesian Optimistic Optimisation with Exponentially Decaying Regret
BayesianOptimisticOptimisationwithExponentiallyDecayingRegretHungTran-The1SunilGupta1SantuRana1SvethaVenkatesh1Abstracttransformaglobaloptimisationproblemintoasequenceofauxiliaryoptimisationproblem...
with Bayesian Regret Optimisation Optimistic
2023-11-16 18:07:4316346.09 MB16
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Batch Value-function Approximation with Only Realizability
BatchValue-functionApproximationwithOnlyRealizabilityTengyangXie1NanJiang1Abstractthissubproblem,wecreateapiecewiseconstantfunctionclassofstatisticalcomplexityO(1/2)thatcanexpressbothWemakeprogress...
Approximation with Batch Only Value-function
2023-11-16 18:07:421656351.21 KB26
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BANG Bridging Autoregressive and Non-autoregressive Generation with Large Scale Pretraining
BANG:BridgingAutoregressiveandNon-autoregressiveGenerationwithLargeScalePretrainingWeizhenQi12YeyunGong3JianJiao4YuYan4WeizhuChen4DayihengLiu25KewenTang4HouqiangLi1JiushengChen4RuofeiZhang4MingZhou...
Generation and with Autoregressive Bridging
2023-11-16 18:07:41927431.79 KB20
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Average-Reward Off-Policy Policy Evaluation with Function Approximation
Average-RewardOff-PolicyPolicyEvaluationwithFunctionApproximationShangtongZhang1YiWan2RichardS.Sutton2ShimonWhiteson1Abstractwhichaimtogenerateapolicythatmaximizestherewardratebyiterativelyimprovin...
Approximation with Off-Policy Evaluation Policy
2023-11-16 18:07:401794882.77 KB14
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Automatic variational inference with cascading flows
AutomaticVariationalInferencewithCascadingFlowsLucaAmbrogioni1GianluigiSilvestri12MarcelvanGerven1AbstractKerstingandDeRaedt,2007;Pfeffer,2001;Parketal.,2005;Goodmanetal.,2012;Wingateetal.,2011;Pat...
Inference Variational with Automatic Flows
2023-11-16 18:07:391407783.25 KB27
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Breaking the Deadly Triad with a Target Network
BreakingtheDeadlyTriadwithaTargetNetworkShangtongZhang1HengshuaiYao23ShimonWhiteson1Abstractpingmethodsconstructupdatetargetsforanestimatebyusingtheestimateitselfrecursively,whichusuallyhaslowerThe...
with the Breaking Network Target
2023-11-16 18:07:381102602.1 KB7
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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
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Agnostic Learning of Halfspaces with Gradient Descent via Soft Margins
AgnosticLearningofHalfspaceswithGradientDescentviaSoftMarginsSpencerFrei1YuanCao2QuanquanGu2AbstractminimizethesurrogateriskWeanalyzethepropertiesofgradientdescentonF(w):=E(x,y)∼D(ywx).(1)convexsu...
Learning of with Gradient Descent
2023-11-16 18:00:281806371.17 KB17
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Adversarial Purification with Score-based Generative Models
AdversarialPuriﬁcationwithScore-basedGenerativeModelsJongminYoon1SungJuHwang12JuhoLee12Abstract2019),inwhichaclassiﬁeristrainedwithadversarialexam-ples,isconsideredasastandarddefensemethodduetoit...
Adversarial Models Generative with Score-Based
2023-11-16 18:00:271037451.14 KB1
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Adversarial Combinatorial Bandits with General Non-linear Reward Functions
AdversarialCombinatorialBanditswithGeneralNon-linearRewardFunctionsXiChen1YanjunHan2YiningWang3Abstractchoosesarewardvectorvt=(vt1,···,vtN)∈[0,1]Nnotrevealedtothealgorithm.Thealgorithmchoosesas...
Adversarial with Bandits General Non-Linear
2023-11-16 18:00:261263284.79 KB9
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