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标签“with”的相关文档，共634条

Convergence of a Stochastic Gradient Method with Momentum for Non-Smooth Non-Convex Optimization
ConvergenceofaStochasticGradientMethodwithMomentumforNon-SmoothNon-ConvexOptimizationVienV.Mai1MikaelJohansson1AbstractThisfunctionclassisveryrichandimportantinoptimiza-tion(Rockafellar,1982;Vial,1...
of with Gradient Convergence Stochastic
2023-11-14 21:43:3717631.16 MB15
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Controlling Overestimation Bias with Truncated Mixture of Continuous Distributional Quantile Critics
ControllingOverestimationBiaswithTruncatedMixtureofContinuousDistributionalQuantileCriticsArseniiKuznetsov1PavelShvechikov12AlexanderGrishin13DmitryVetrov13AbstractThrun&Schwartz(1993)elucidatetheo...
of with Bias Mixture Controlling
2023-11-14 21:43:377084.84 MB21
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Consistent Structured Prediction with Max-Min Margin Markov Networks
ConsistentStructuredPredictionwithMax-MinMarginMarkovNetworksAlexNowak-Vila1FrancisBach1AlessandroRudi1Abstractdictionmistakesarenotequallycostly.Insequencepre-diction,forinstance,thenumberofpossib...
with Markov Consistent Prediction Structured
2023-11-14 21:43:3413221.27 MB30
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Compressive sensing with un-trained neural networks Gradient descent finds a smooth approximation
Compressivesensingwithun-trainedneuralnetworks:GradientdescentﬁndsthesmoothestapproximationReinhardHeckel1MahdiSoltanolkotabi2Abstractopposedtotrainedconvolutionalneuralnetworks,thatlearnanimagepr...
Neural Networks with Gradient Sensing
2023-11-14 21:43:31685682.95 KB10
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Composing Molecules with Multiple Property Constraints
Multi-ObjectiveMoleculeGenerationusingInterpretableSubstructuresWengongJin1ReginaBarzilay1TommiJaakkola1Abstractwithsubstructures(e.g.,functionalgroupsorlaterpieces)thatdrivespeciﬁcpropertiesofint...
with Composing Multiple Constraints Property
2023-11-14 21:43:3118512.12 MB28
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Communication-Efficient Federated Learning with Sketching
FetchSGD:Communication-EfﬁcientFederatedLearningwithSketchingDanielRothchild∗1AshwineePanda∗1EnayatUllah2NikitaIvkin3IonStoica1VladimirBraverman2JosephGonzalez1RamanArora2Abstract2018).Evenwitho...
Learning with Communication-efficient Sketching Federated
2023-11-14 21:43:309543.52 MB20
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Communication-Efficient Distributed Stochastic AUC Maximization with Deep Neural Networks
Communication-EfﬁcientDistributedStochasticAUCMaximizationwithDeepNeuralNetworksZhishuaiGuo1MingruiLiu1ZhuoningYuan1LiShen2WeiLiu2TianbaoYang1Abstract1.IntroductionInthispaper,westudydistributedal...
Maximization Distributed with Deep Stochastic
2023-11-14 21:43:306201.52 MB28
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Collaborative Machine Learning with Incentive-Aware Model Rewards
CollaborativeMachineLearningwithIncentive-AwareModelRewardsRachaelHweeLingSim1YehongZhang1MunChoonChan1BryanKianHsiangLow1Abstractfromotherhospitalsandﬁrmstoimprovethepredictionofsomediseaseprogre...
Learning with Model Machine Collaborative
2023-11-14 21:43:2816874.24 MB9
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Clinician-in-the-Loop Decision Making Reinforcement Learning with Near-Optimal Set-Valued Policies
Clinician-in-the-LoopDecisionMaking:ReinforcementLearningwithNear-OptimalSet-ValuedPoliciesShengpuTang1AdityaModi1MichaelW.Sjoding23JennaWiens1Abstractrewardsignalsviarewardshaping(Lizotteetal.,201...
Learning with Reinforcement Making Decision
2023-11-14 21:43:2611751.51 MB23
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Causal Inference using Gaussian Processes with Structured Latent Confounders
CausalInferenceusingGaussianProcesseswithStructuredLatentConfoundersSamWitty1KentaTakatsu1DavidJensen1VikashMansinghka2Abstractwhileproducingdifferentestimatesoftheeffectsofanin-tervention.Thisobse...
Using Inference with Gaussian Processes
2023-11-14 21:43:2315451.82 MB29
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BoXHED Boosted eXact Hazard Estimator with Dynamic covariates
BoXHED:BoostedeXactHazardEstimatorwithDynamiccovariatesXiaochenWang1ArashPakbin2BobakJ.Mortazavi2HongyuZhao1DonaldK.K.Lee3Abstractdying,butalsowhenthatmighthappen,inordertoprovidetimelycriticalcare...
with Boosted Dynamic Exact Estimator
2023-11-14 21:43:20610714.31 KB26
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Boosting Deep Neural Network Efficiency with Dual-Module Inference
BoostingDeepNeuralNetworkEfﬁciencywithDual-ModuleInferenceLiuLiu12LeiDeng2ZhaodongChen2YukeWang1ShuangchenLi3JingweiZhang3YihuaYang3ZhenyuGu3YufeiDing1YuanXie2Abstract2013;Heetal.,2019;Wangetal.,2...
Neural with Deep Network Boosting
2023-11-14 21:43:181864427.06 KB29
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Bayesian Graph Neural Networks with Adaptive Connection Sampling
BayesianGraphNeuralNetworkswithAdaptiveConnectionSamplingArmanHasanzadeh1EhsanHajiramezanali1ShahinBoluki1MingyuanZhou2NickDufﬁeld1KrishnaNarayanan1XiaoningQian1Abstracttwomajorlimitations:1)theyc...
Adaptive Neural Networks with Graph
2023-11-14 21:43:121000486.47 KB27
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Batch Reinforcement Learning with Hyperparameter Gradients
BatchReinforcementLearningwithHyperparameterGradientsByung-JunLee1JongminLee1PeterVrancx2DonghoKim2Kee-EungKim23Abstractrealenvironment.However,thisapproachrequiresalotofhumaneffortincludingdomaine...
Learning with Reinforcement Gradients Batch
2023-11-14 21:43:115413.82 MB8
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Balancing Competing Objectives with Noisy Data Score-Based Classifiers for Welfare-Aware Machine Learning
BalancingCompetingObjectiveswithNoisyData:Score-BasedClassiﬁersforWelfare-AwareMachineLearningEstherRolf1MaxSimchowitz1SarahDean1LydiaT.Liu1DanielBjo¨rkegren2MoritzHardt1JoshuaBlumenstock3Abstrac...
with Data Noisy Balancing Competing
2023-11-14 21:43:1118367.85 MB26
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Bandits with Adversarial Scaling
BanditswithAdversarialScalingThodorisLykouris1VahabMirrokni2RenatoPaesLeme2AbstractModelingthisproblem,onesoonrealizesthatthetwoclas-sicalmulti-armedbanditapproachesfailtocapturetheWestudyadversari...
Adversarial with Bandits Scaling
2023-11-14 21:43:11814380.21 KB13
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Augmenting Continuous Time Bayesian Networks with Clocks
Continuous-TimeBayesianNetworkswithClocksNicolaiEngelmann1DominikLinzner1HeinzKoeppl12Abstractfollowaﬁxedparametrizationthathinderstheirexpressive-ness,oraredeﬁnedindiscretetimeasDynamicBayesianS...
Networks with Bayesian Time Continuous
2023-11-14 21:43:1016661.42 MB16
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Approximating Stacked and Bidirectional Recurrent Architectures with the Delayed Recurrent Neural Network
ApproximatingStackedandBidirectionalRecurrentArchitectureswiththeDelayedRecurrentNeuralNetworkJavierS.Turek1ShaileeJain2VyA.Vo1MihaiCapota˘1AlexanderG.Huth23TheodoreL.Willke1Abstractelement.Howeve...
and with Recurrent Bidirectional Architectures
2023-11-14 21:43:0718091.03 MB20
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Amortized Population Gibbs Samplers with Neural Sufficient Statistics
AmortizedPopulationGibbsSamplerswithNeuralSufﬁcientStatisticsHaoWu1HeikoZimmermann1EliSennesh1TuanAnhLe2Jan-WillemvandeMeent1Abstractmakedata-efﬁcientinferencesaboutinstance-levelvariables(e.g.ob...
Neural with Population Gibbs Amortized
2023-11-14 21:43:057846.97 MB12
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Adversarial Neural Pruning with Latent Vulnerability Suppression
AdversarialNeuralPruningwithLatentVulnerabilitySuppressionDivyamMadaan1JinwooShin23SungJuHwang134Abstractever,DNNsareextremelybrittletocarefullycraftedimper-ceptibleadversarialperturbationsintentio...
Neural Adversarial with Latent Vulnerability
2023-11-14 21:43:0112744.6 MB11
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