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标签“in”的相关文档，共437条

Mixed Nash Equilibria in the Adversarial Examples Game
MixedNashEquilibriaintheAdversarialExamplesGameLaurentMeunier12MeyerScetbon3RafaelPinot4JamalAtif1YannChevaleyre1AbstractAlongthisline,(Pinotetal.,2020)demonstrated,usinggametheory,thatrandomizedcl...
Adversarial the in Nash Mixed
2023-11-16 19:04:5610251.21 MB9
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Joining datasets via data augmentation in the label space for neural networks
JoiningdatasetsviadataaugmentationinthelabelspaceforneuralnetworksJakeZhao(Junbo)1MingfengOu23LinjiXue2YunkaiCui2SaiWu1GangChen1Abstractinstead,itsversatilitycanbesubstantiallyenhancedbyanovelframe...
the via Data in Datasets
2023-11-16 18:47:0518311.98 MB22
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integer Programming for Causal Structure Learning in the Presence of Latent Variables
integerProgrammingforCausalStructureLearninginthePresenceofLatentVariablesRuiChen1SanjeebDash2TianGao2Abstractscore-basedandconstraint-basedapproaches.Score-basedmethodsuseascore–suchasBayesiansco...
Learning for in Causal Integer
2023-11-16 18:47:041893300.93 KB8
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in-Database Regression in input Sparsity Time
in-DatabaseRegressionininputSparsityTimeRajeshJayaram1AlirezaSamadian2DavidP.Woodruff1PengYe3Abstract1.introductionSketchingisapowerfuldimensionalityreductionSketchingisanimportanttoolfordimensiona...
Regression in Time Sparsity Input
2023-11-16 18:47:031218374.3 KB9
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Improving Breadth-Wise Backpropagation in Graph Neural Networks Helps Learning Long-Range Dependencies.
ImprovingBreadth-WiseBackpropagationinGraphNeuralNetworksHelpsLearningLong-RangeDependenciesDenisLukovnikov1AsjaFischer1Abstract2020),(2)over-smoothing(Lietal.,2018;Chenetal.,2019;Zhao&Akoglu,2020;...
Neural Networks Graph in Improving
2023-11-16 18:47:021294366.29 KB20
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Improving Generalization in Meta-learning via Task Augmentation
ImprovingGeneralizationinMeta-learningviaTaskAugmentationHuaxiuYao†1Long-KaiHuang2LinjunZhang3YingWei4LiTian2JamesZou1JunzhouHuang2ZhenhuiLi5Abstractquicklylearninganewtaskwithaslittleasafewexampl...
via in Improving generalization Meta-Learning
2023-11-16 18:47:021264653.07 KB18
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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
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Implicit Regularization in Tensor Factorization
ImplicitRegularizationinTensorFactorizationNoamRazin1AsafMaman1NadavCohen1Abstracttoﬁttingbypredictorsoflowercomplexity.Amajorchal-lengeinformalizingthisintuitionisthatwelackdeﬁnitionsRecenteffor...
in Tensor Factorization Regularization Implicit
2023-11-16 18:47:001393979.68 KB16
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How Important is the Train-Validation Split in Meta-Learning
HowImportantistheTrain-ValidationSplitinMeta-Learning?YuBai1MinshuoChen2PanZhou1TuoZhao2JasonD.Lee3ShamKakade4HuanWang1CaimingXiong1Abstract1.introductionMeta-learningaimstoperformfastadaptationMet...
the in How is Important
2023-11-16 18:46:571374780.83 KB28
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Hierarchical Agglomerative Graph Clustering in Nearly-Linear Time
HierarchicalAgglomerativeGraphClusteringinNearly-LinearTimeLaxmanDhulipala1DavidEisenstat2JakubŁa˛cki2VahabMirrokni2JessicaShi1Abstractﬁrstproposednearly50yearsago(King,1967;Lance&Williams,1967;...
Graph Hierarchical in Clustering Time
2023-11-16 18:46:54877421.66 KB15
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Gradient Disaggregation Breaking Privacy in Federated Learning by Reconstructing the User Participant Matrix
GradientDisaggregation:BreakingPrivacyinFederatedLearningbyReconstructingtheUserParticipantMatrixMaximilianLam1Gu-YeonWei1DavidBrooks1VijayJanapaReddi1MichaelMitzenmacher1Abstractorwearables,andmai...
Learning Gradient in Breaking Privacy
2023-11-16 18:46:496134.95 MB3
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Geometry of the Loss Landscape in Overparameterized Neural Networks Symmetries and invariances
GeometryoftheLossLandscapeinOverparameterizedNeuralNetworks:SymmetriesandinvariancesBerﬁnS¸ims¸ek12Franc¸oisGed1ArthurJacot1FrancescoSpadaro1Cle´mentHongler1WulframGerstner2JohanniBrea2Abstrac...
of the in Geometry Loss
2023-11-16 18:46:4719121.46 MB25
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Generalization Bounds in the Presence of Outliers a Median-of-Means Study
GeneralizationBoundsinthePresenceofOutliers:aMedian-of-MeansStudyPierreLaforgue1GuillaumeStaerman2StephanClémençon2Abstractcorruptionoftheobservationsacquired.Fromastatisticalperspective,twoframe...
of the in generalization bounds
2023-11-16 18:46:4410285.42 MB13
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Finding k in Latent $k-$ polytope
FindingkinLatentk-PolytopeChiranjibBhattacharyya1RaviKannan2AmitKumar3Abstract(Bhattacharyya&Kannan,2020)suggestedLatentkpolytope(LkP),anunifyingmodelwhichincludesallofTherecentlyintroducedLatentk...
in Latent Finding Polytope
2023-11-16 18:38:111559347.74 KB12
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Feature Clustering for Support Identification in Extreme Regions
FeatureClusteringforSupportIdentiﬁcationinExtremeRegionsHamidJalalzai12Re´miLeluc1Abstractseveralrecentstudies:inanomalydetection(Roberts,1999;Cliftonetal.,2011;Goixetal.,2016;Thomasetal.,2017),U...
for Feature Identification in Clustering
2023-11-16 18:38:09563674.98 KB6
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Fast active learning for pure exploration in reinforcement learning
FastactivelearningforpureexplorationinreinforcementlearningPierreMénard1OmarDarwicheDomingues2EmilieKaufmann23AndersJonsson4EdouardLeurent2MichalValko235Abstracthowtoexploreefﬁciently.inparticula...
Learning Active for in Fast
2023-11-16 18:38:081033404.16 KB11
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Fairness of Exposure in Stochastic Bandits
FairnessofExposureinStochasticBanditsLequnWang1YiweiBai1WenSun1ThorstenJoachims1AbstractWhilemaximizinguserresponsesmayarguablybeintheinterestoftheplatformanditsusersatleastintheshortterm,Contextua...
of Stochastic in Bandits Fairness
2023-11-16 18:38:081269949.6 KB27
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Fairness and Bias in Online Selection
FairnessandBiasinOnlineSelectionJose´Correa1Andre´sCristi1PaulDu¨tting2AshkanNorouzi-Fard2Abstractalsoitnaturallyencompassesmanyreal-worlddecisionmak-ingprocesseswherebiasedevaluationsshouldbeav...
Online Selection and in Fairness
2023-11-16 18:38:071334605.75 KB19
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Exponential Reduction in Sample Complexity with Learning of Ising Model Dynamics
ExponentialReductioninSampleComplexitywithLearningofIsingModelDynamicsArkopalDutt1AndreyY.Lokhov2MarcVuffray2SidhantMisra2Abstractmeasurementsandexperiments.Asthesesamplesaretime-consumingorcostlyt...
Learning with Complexity Reduction in
2023-11-16 18:38:0618792.37 MB7
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Exponentially Many Local Minima in Quantum Neural Networks
ExponentiallyManyLocalMinimainQuantumNeuralNetworksXuchenYou12XiaodiWu12Abstractso-calledvariationalquantummethod(e.g.,Peruzzoetal.(2014)),arethemajorcandidatesofapplicationsthatcanbeQuantumNeuralN...
Neural Local in Quantum Minima
2023-11-16 18:38:06799824.91 KB4
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