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标签“in”的相关文档，共437条

Learning Continuous Hierarchies in the Lorentz Model of Hyperbolic Geometry
LearningContinuousHierarchiesintheLorentzModelofHyperbolicGeometryMaximilianNickel1DouweKiela1Abstractsystemsofconcepts.However,explicitinformationaboutsuchhierarchicalrelationshipsisunavailablefor...
Learning Model the in Continuous
2023-11-13 11:59:5419771.26 MB9
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invariance of Weight Distributions in Rectified MLPs
invarianceofWeightDistributionsinRectiﬁedMLPsRussellTsuchida1FarbodRoosta-Khorasani23MarcusGallagher1Abstractplicationratherthananunderstandingofthecapabilitiesandtrainingofneuralnetworks.Recently...
of in Weight Distributions Invariance
2023-11-13 11:59:4816031.92 MB9
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inference Suboptimality in Variational Autoencoders
inferenceSuboptimalityinVariationalAutoencodersChrisCremer1XuechenLi1DavidDuvenaud1AbstractFig.1forasimpleillustrationofthegaps.inFig.1,L[q]referstotheELBOevaluatedusinganamortizeddistribu-Amortize...
Inference Variational Autoencoders in Suboptimality
2023-11-13 11:59:471709681.17 KB21
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Improved Regret Bounds for Thompson Sampling in Linear Quadratic Control Problems
ImprovedRegretBoundsforThompsonSamplinginLinearQuadraticControlProblemsMarcAbeille1AlessandroLazaric2Abstracthasbeenmostlyaddressedfollowingtwomainapproaches:optimism-in-face-of-uncertainty(OFU)and...
for Sampling in Regret bounds
2023-11-13 11:59:461691347.15 KB20
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Importance Weighted Transfer of Samples in Reinforcement Learning
ImportanceWeightedTransferofSamplesinReinforcementLearningAndreaTirinzoni1AndreaSessa1MatteoPirotta2MarcelloRestelli1Abstracttions,parameters,policies,etc.)andinthecriteriausedtoestablishwhethersuc...
of Reinforcement in Transfer Importance
2023-11-13 11:59:451452426.47 KB7
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Implicit Regularization in Nonconvex Statistical Estimation Gradient Descent Converges Linearly for Phase Retrieval and Matrix Completion
ImplicitRegularizationinNonconvexStatisticalEstimation:GradientDescentConvergesLinearlyforPhaseRetrievalandMatrixCompletionCongMa1KaizhengWang1YuejieChi2YuxinChen3Abstract1.introductionRecentyearsh...
Gradient Statistical in Estimation Nonconvex
2023-11-13 11:59:457901.03 MB13
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GEP-PG Decoupling Exploration and Exploitation in Deep Reinforcement Learning Algorithms
GEP-PG:DecouplingExplorationandExploitationinDeepReinforcementLearningAlgorithmsCe´dricColas1OlivierSigaud12Pierre-YvesOudeyer1AbstractDeepRLalgorithmsgenerallyconsistinapplyingStochas-ticGradient...
and Deep in Exploration Decoupling
2023-11-13 11:59:399383.03 MB1
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Fast Decoding in Sequence Models Using Discrete Latent Variables
FastDecodinginSequenceModelsUsingDiscreteLatentVariablesŁukaszKaiser1AurkoRoy1AshishVaswani1NikiParmar1SamyBengio1JakobUszkoreit1NoamShazeer1Abstractlation(Sutskeveretal.,2014;Bahdanauetal.,2014;C...
Using Models in Fast Sequence
2023-11-13 11:59:341574431.72 KB9
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Fairness Without Demographics in Repeated Loss Minimization
FairnessWithoutDemographicsinRepeatedLossMinimizationTatsunoriB.Hashimoto12MeghaSrivastava1HongseokNamkoong3PercyLiang1AbstractJurgensetal.,2017),dependencyparsing(Blodgettetal.,2016),part-of-speec...
in without Minimization Fairness Loss
2023-11-13 11:59:32556701.22 KB28
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Exploring Hidden Dimensions in Accelerating Convolutional Neural Networks
ExploringHiddenDimensionsinParallelizingConvolutionalNeuralNetworksZhihaoJia1SinaLin2CharlesR.Qi1AlexAiken1Abstracteachdevice.Anothercommonapproachismodelparal-lelism(Mirhoseinietal.,2017;Kimetal.,...
Neural Hidden in Dimensions Convolutional
2023-11-13 11:59:321413549.97 KB13
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Essentially No Barriers in Neural Network Energy Landscape
EssentiallyNoBarriersinNeuralNetworkEnergyLandscapeFelixDraxler12KambisVeschgini2ManfredSalmhofer2FredA.Hamprecht1Abstractformaconnectedmanifold.Moreprecisely,wearguethatthepartoftheparameterspacew...
Neural in Network Energy No
2023-11-13 11:59:3217933.4 MB28
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Efficient Bias-Span-Constrained Exploration-Exploitation in Reinforcement Learning
EfﬁcientBias-Span-ConstrainedExploration-ExploitationinReinforcementLearningRonanFruit1MatteoPirotta1AlessandroLazaric2RonaldOrtner3Abstractand,ateachstep,itexecutesthepolicywithhighestopti-mistic...
Learning Efficient Reinforcement in Exploration-Exploitation
2023-11-13 11:59:301711517.31 KB27
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Discrete-Continuous Mixtures in Probabilistic Programming Generalized Semantics and inference Algorithms
Discrete-ContinuousMixturesinProbabilisticProgramming:GeneralizedSemanticsandinferenceAlgorithmsYiWu1SiddharthSrivastava2NicholasHay3SimonS.Du4StuartRussell1Abstracttureofcontinuousanddiscreterando...
in Probabilistic Generalized Programming Mixtures
2023-11-13 11:59:28860511.94 KB9
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Detecting non-causal artifacts in multivariate linear regression models
Detectingnon-causalartifactsinmultivariatelinearregressionmodelsDominikJanzing1BernhardScho¨lkopf2AbstractZZZWeconsiderlinearmodelswheredpotentialXYXYXYcausesX1,...,Xdarecorrelatedwithonetargetqua...
Regression in Linear Multivariate Detecting
2023-11-13 11:59:261304368.88 KB23
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Deep Reinforcement Learning in Continuous Action Spaces a Case Study in the Game of Simulated Curling
DeepReinforcementLearninginContinuousActionSpaces:aCaseStudyintheGameofSimulatedCurlingKyowoonLee1Sol-AKim1JaesikChoi1Seong-WhanLee2Abstract1992),andothello(Buro,1999).Recently,deepconvolu-tionalne...
Learning Reinforcement Deep in Spaces
2023-11-13 11:59:258151.25 MB15
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Decomposition of Uncertainty in Bayesian Deep Learning for Efficient and Risk-sensitive Learning
DecompositionofUncertaintyinBayesianDeepLearningforEfﬁcientandRisk-sensitiveLearningStefanDepeweg12Jose´MiguelHerna´ndez-Lobato3FinaleDoshi-Velez4SteffenUdluft1Abstractinthisworkweshowhowtoperfo...
Learning of Deep Bayesian in
2023-11-13 11:59:2314201.87 MB1
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Coordinated Exploration in Concurrent Reinforcement Learning
CoordinatedExplorationinConcurrentReinforcementLearningMariaDimakopoulou1BenjaminVanRoy1Abstractandreﬁnesestimatesasdataisgathered.Atthestartofeachepisode,theagentsamplesanMDPfromitscurrentposte-W...
Learning Reinforcement in Coordinated Exploration
2023-11-13 11:59:201213850.74 KB7
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Closed-form Marginal Likelihood in Gamma-Poisson Matrix Factorization
Closed-formMarginalLikelihoodinGamma-PoissonMatrixFactorizationLouisFilstroff1AlbertoLumbreras1Ce´dricFe´votte1AbstractwhereweusetheshapeandrateparametrizationoftheGammadistribution,i.e.,Gamma(x...
Matrix in Factorization Likelihood Closed-form
2023-11-13 11:59:14614458.36 KB26
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Characterizing Implicit Bias in Terms of Optimization Geometry
CharacterizingImplicitBiasinTermsofOptimizationGeometrySuriyaGunasekar1JasonLee2DanielSoudry3NathanSrebro1Abstractassociatedhyperparametercanchangetheimplicitbias.Forexample,Wilsonetal.(2017)showed...
of Optimization in Characterizing Implicit
2023-11-13 11:59:1414243.57 MB23
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Beyond the One-Step Greedy Approach in Reinforcement Learning
BeyondtheOne-StepGreedyApproachinReinforcementLearningYonathanEfroni1GalDalal1BrunoScherrer2ShieMannor1Abstractsuggestedthatgreedyapproachesw.r.t.multiplestepsper-formbetterthanw.r.t.1-step.Notable...
Reinforcement the in Beyond Approach
2023-11-13 11:59:0911662.4 MB18
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