"Theory"的相关文档 - 文库宝

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标签“Theory”的相关文档，共27条

Theory of Spectral Method for Union of Subspaces-Based Random Geometry Graph
TheoryofSpectralMethodforUnionofSubspaces-BasedRandomGeometryGraphGenLi1YuantaoGu1AbstracttaskinprocessingdatapointsinUoSistoclusterthesedatapoints,whichisknownasSubspaceClustering(SC).Appli-Spectr...
of for Spectral Theory Method
2023-11-16 19:42:071704325.71 KB9
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Online Optimization in Games via Control Theory Connecting Regret, Passivity and Poincaré Recurrence
OnlineOptimizationinGamesviaControlTheory:ConnectingRegret,PassivityandPoincare´RecurrenceYunKuenCheung1GeorgiosPiliouras2AbstractTheoryandonlineoptimization.Wepresentanovelcontrol-theoreticunders...
Online Optimization via in Theory
2023-11-16 19:28:241927558.17 KB10
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Message Passing Adaptive Resonance Theory for Online Active Semi-supervised Learning
MessagePassingAdaptiveResonanceTheoryforOnlineActiveSemi-supervisedLearningTaehyeongKim12InjuneHwang1HyundoLee2HyunseoKim2Won-SeokChoi2JosephJ.Lim13Byoung-TakZhang2Abstractuseofdeeplearninginreal-w...
Adaptive for Online Theory Message
2023-11-16 19:05:1712812.04 MB25
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Few-shot Language Coordination by Modeling Theory of Mind
Few-shotLanguageCoordinationbyModelingTheoryofMindHaoZhu1GrahamNeubig1YonatanBisk1Abstractprocess,withawidevarietyofworksexaminingcommuni-cationbetweenagentsviaeithercompletelyartiﬁcialemer-Nomani...
of by Theory Modeling Language
2023-11-16 18:38:111270620.21 KB23
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f-Domain Adversarial Learning Theory and Algorithms
f-Domain-AdversarialLearning:TheoryandAlgorithmsDavidAcuna123GuojunZhang43MarcT.Law1SanjaFidler123Abstractlabeledandunlabeleddatasets,anditisexpectedtogen-eralizewelltothetargetdatasetifthegapbetwe...
Learning Adversarial and Algorithms Theory
2023-11-16 18:38:09533815.97 KB15
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Approximation Theory of Convolutional Architectures for Time Series Modelling
ApproximationTheoryofConvolutionalArchitecturesforTimeSeriesModellingHaotianJiang1ZhongLi2QianxiaoLi13AbstractTherecentworkofLietal.(2021)formulatedthetempo-ralmodellingtaskintoafunctionalanalysisp...
of for Approximation Time Convolutional
2023-11-16 18:00:331240485.67 KB14
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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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A Theory of high dimensional regression with arbitrary correlations between input features and target functions sample complexity, multiple descent curves and a hierarchy of phase transitions
ATheoryofHighDimensionalRegressionwithArbitraryCorrelationsbetweenInputFeaturesandTargetFunctions:SampleComplexity,MultipleDescentCurvesandaHierarchyofPhaseTransitionsGabrielC.Mel1SuryaGanguli2Abst...
of and with Regression High
2023-11-16 17:52:005164.85 MB14
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A Theory of Label Propagation for Subpopulation Shift
ATheoryofLabelPropagationforSubpopulationShiftTianleCai12RuiqiGao12JasonD.Lee1QiLei1Abstracttees.Manyoftheworksarebasedonthecovariateshiftas-sumption(Heckman,1979;Shimodaira,2000),whichstatesOneoft...
of for Theory Propagation Label
2023-11-16 17:52:001110496.52 KB10
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Towards a General Theory of Infinite-Width Limits of Neural Classifiers
TowardsaGeneralTheoryofInﬁnite-WidthLimitsofNeuralClassiﬁersEugeneA.Golikov1Abstractofinﬁnitewidth.Inparticular,(Jacotetal.,2018)showedthatifweightsareparameterizedinacertainwaythentheObtainingt...
of Neural Theory General Towards
2023-11-14 21:46:481896572.07 KB9
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Random Matrix Theory Proves that Deep Learning Representations of GAN-data Behave as Gaussian Mixtures
RandomMatrixTheoryProvesthatDeepLearningRepresentationsofGAN-dataBehaveasGaussianMixturesMohamedElAmineSeddik12CosmeLouart13MohamedTamaazousti1RomainCouillet23Abstractontopofitthatareaccurateforthe...
Learning Matrix Deep random Theory
2023-11-14 21:46:037414.65 MB14
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Optimization Theory for ReLU Neural Networks Trained with Normalization Layers
OptimizationTheoryforReLUNeuralNetworksTrainedwithNormalizationLayersYonatanDukler1QuanquanGu2GuidoMontúfar134AbstractofadditionalnormalizationmethodsfollowedBN,notablyincludingLayerNormalization(...
Neural for Networks Optimization Theory
2023-11-14 21:45:441221526.25 KB25
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A Unified Theory of Decentralized SGD with Changing Topology and Local Updates
AUniﬁedTheoryofDecentralizedSGDwithChangingTopologyandLocalUpdatesAnastasiaKoloskova1NicolasLoizou2SadraBoreiri1MartinJaggi1SebastianU.Stich1Abstractetal.,2016;2017;Kairouzetal.,2019)hasemerged,bu...
of with Decentralized Theory Unified
2023-11-14 21:42:5412562.32 MB11
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Rate Distortion For Model Compression From Theory To Practice
RateDistortionForModelCompression:FromTheoryToPracticeWeihaoGao1Yu-HanLiu2ChongWang3SewoongOh4Abstracttationalpower,thenumberofweightsinpracticalneuralnetworkmodelalsogrowsrapidly.Forexample,inthea...
for from Model Theory Compression
2023-11-13 14:48:22655369.77 KB9
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Obtaining Fairness using Optimal Transport Theory
ObtainingFairnessusingOptimalTransportTheoryEustasiodelBarrio1FabriceGamboa2PaulaGordaliza21Jean-MichelLoubes2Abstractwereferto(Zafaretal.,2017)or(Friedleretal.,2018).Inthefairclassiﬁcationsetup,w...
Using Optimal Transport Theory Fairness
2023-11-13 14:48:011336571.19 KB16
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Bridging Theory and Algorithm for Domain Adaptation
BridgingTheoryandAlgorithmforDomainAdaptationYuchenZhang12TianleLiu13MingshengLong12MichaelI.Jordan4AbstractRemarkabletheoreticaladvanceshavebeenachievedindo-mainadaptation.Mansouretal.(2009c);Ben-...
for and Algorithm Domain Adaptation
2023-11-13 14:46:3412942.92 MB9
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A Theory of Regularized Markov Decision Processes
ATheoryofRegularizedMarkovDecisionProcessesMatthieuGeist1BrunoScherrer2OlivierPietquin1AbstractTsallisentropy(Leeetal.,2018),withthemotivationofhavingasparseregularizedgreedypolicy.OtherapproachesM...
of Markov Decision Processes Theory
2023-11-13 14:46:151630267.95 KB20
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A Kernel Theory of Modern Data Augmentation
AKernelTheoryofModernDataAugmentationTriDao1AlbertGu1AlexanderJ.Ratner1VirginiaSmith2ChristopherDeSa3ChristopherRe´1Abstractasregularizertomaketheresultingmodelmorerobust,andprovideresourcestodata...
of Kernel Data Theory Modern
2023-11-13 14:46:1311661.37 MB12
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A Convergence Theory for Deep Learning via Over-Parameterization
AConvergenceTheoryforDeepLearningviaOver-ParameterizationZeyuanAllen-Zhu1YuanzhiLi23ZhaoSong456Abstract1IntroductionDeepneuralnetworks(DNNs)havedemon-Neuralnetworkshavedemonstratedagreatsuccessinst...
Learning for Deep Convergence via
2023-11-13 14:46:118411.18 MB13
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On the Theory of Variance Reduction for Stochastic Gradient Monte Carlo
OntheTheoryofVarianceReductionforStochasticGradientMonteCarloNiladriS.Chatterji1NicolasFlammarion2Yi-AnMa2PeterL.Bartlett23MichaelI.Jordan23AbstractsothatefﬁcientapproachestoMonteCarlosamplingarer...
of for on the Variance
2023-11-13 12:00:201978725.51 KB27
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