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标签“from”的相关文档，共138条

Learning Mixtures of Graphs from Epidemic Cascades
LearningMixturesofGraphsfromEpidemicCascadesJessicaHoffmann1SoumyaBasu1SurbhiGoel1ConstantineCaramanis1AbstractRodriguezetal.,2013;Chengetal.,2014;Zhaoetal.,2015;Liuetal.,2019),detectingthem(Arias-...
Learning of from graphs Mixtures
2023-11-14 21:44:541644363.94 KB8
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Learning from Strategic Agents Accuracy, Improvement, and Causality
CausalStrategicLinearRegressionYonadavShavit1BenjaminL.Edelman1BrianAxelrod2Abstractthen,aresomemodelskepthiddenfromtheviewofthosesubjecttotheirdecisions?Inmanypredictivedecision-makingscenarios,su...
Learning from and Agents Strategic
2023-11-14 21:44:531292714.26 KB22
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Learning from Irregularly-Sampled Time Series A Missing Data Perspective
LearningfromIrregularly-SampledTimeSeries:AMissingDataPerspectiveStevenCheng-XianLi1BenjaminM.Marlin1Abstractcreatemultiplechallengesforclassicalmachinelearningmodelsandalgorithmsthatrequiredatatob...
Learning from Data Time Series
2023-11-14 21:44:53638880.21 KB2
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Learning and sampling of atomic interventions from observations
LearningandSamplingofAtomicInterventionsfromObservationsArnabBhattacharyya1SutanuGayen1SaravananKandasamy2AshwinMaran3N.V.Vinodchandran4Abstracttime.WestudytheproblemofefﬁcientlyestimatingWeextend...
Learning of from Sampling and
2023-11-14 21:44:501949398.88 KB8
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Graph-based, Self-Supervised Program Repair from Diagnostic Feedback
Graph-based,Self-SupervisedProgramRepairfromDiagnosticFeedbackMichihiroYasunaga1PercyLiang1LSTMLASTbMstractLSTMBrokenProgramEvaluator(compiler)WeconsidertheprLoSbTlMemoflearnLiSnTgMtorepairpro-(`ch...
from Self-supervised Graph-based Feedback Program
2023-11-14 21:44:2711751.67 MB16
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Graph-based Nearest Neighbor Search from Practice to Theory
Graph-basedNearestNeighborSearch:fromPracticetoTheoryLiudmilaProkhorenkova123AleksandrShekhovtsov13Abstract1975;Meiser,1993).Inparticular,thealgorithmsbasedonrecursivepartitionsofthespace,likek-dth...
from to Search Graph-based Nearest
2023-11-14 21:44:278141.24 MB26
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Generative Pretraining from Pixels
GenerativePretrainingfromPixelsMarkChen1AlecRadford1RewonChild1JeffWu1HeewooJun1DavidLuan1IlyaSutskever1Abstractonthebeneﬁtsofdeepunsupervisedrepresentationsandre-portedstrongresultsusingasinglela...
from Generative Pixels Pretraining
2023-11-14 21:44:2317952 MB19
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from Sets to Multisets Provable Variational Inference for Probabilistic Integer Submodular Models
fromSetstoMultisets:ProvableVariationalInferenceforProbabilisticIntegerSubmodularModelsAytuncSahin1YataoBian2JoachimM.Buhmann1AndreasKrause1Abstracttionperspective.Usingthecelebratedgreedyalgorithm...
from Inference Variational to Provable
2023-11-14 21:44:191181714.03 KB6
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from PAC to Instance-Optimal Sample Complexity in the Plackett-Luce Model
fromPACtoInstance-OptimalSampleComplexityinthePlackett-LuceModelAadirupaSaha1AdityaGopalan1Abstractetal.,2013;Radlinskietal.,2008),crowdsourcedranking(Chenetal.,2013),tournamentdesign(Graepel&Herbr...
from Complexity in to Sample
2023-11-14 21:44:181267631.58 KB14
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from Importance Sampling to Doubly Robust Policy Gradient
fromImportanceSamplingtoDoublyRobustPolicyGradientJiaweiHuang1NanJiang1AbstractSummaryofthePaperWeprovideasimpleandpositiveanswertotheabovequestionintheepisodicRLsetting.InWeshowthaton-policypolicy...
from Sampling Robust Policy to
2023-11-14 21:44:18973658.1 KB14
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from Local SGD to Local Fixed Point Methods for Federated Learning
fromLocalSGDtoLocalFixed-PointMethodsforFederatedLearningGrigoryMalinovsky1DmitryKovalev2ElnurGasanov2LaurentCondat2PeterRichtárik2Abstractoneplaceistocommunicate,tokeepmovingtowardsthesolutionoft...
from Methods Local to Point
2023-11-14 21:44:17861888.68 KB19
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from ImageNet to Image Classification Contextualizing Progress on Benchmarks
fromImageNettoImageClassiﬁcation:ContextualizingProgressonBenchmarksDimitrisTsipras1ShibaniSanturkar1LoganEngstrom1AndrewIlyas1AleksanderMa˛dry1Abstract(a)missile(b)stage(c)monasteryBuildingrichm...
from Image Classification to Progress
2023-11-14 21:44:1717622.55 MB21
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from Chaos to Order Symmetry and Conservation Laws in Game Dynamics
fromChaostoOrder:SymmetryandConservationLawsinGameDynamicsSaiGaneshNagarajan1DavidBalduzzi2GeorgiosPiliouras1Abstractassumptionisnotalwaysvalidinpractice.Indeed,innu-merouscasesofmulti-agentcompeti...
from and to Order Symmetry
2023-11-14 21:44:177556.06 MB11
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Extreme Multi-label Classification from Aggregated Labels
ExtremeMulti-labelClassiﬁcationfromAggregatedLabelsYanyaoShen1Hsiang-fuYu2SujaySanghavi12InderjitDhillon23Abstractitybecomesgrowinglyexpensive.Asaresult,modernma-chinelearningapplicationsneedtodea...
from Classification Labels Multi-label Aggregated
2023-11-14 21:44:081607502.49 KB11
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Evolving Machine Learning Algorithms from Scratch
AutoML-Zero:EvolvingMachineLearningAlgorithmsfromScratchEstebanReal1ChenLiang1DavidR.So1QuocV.Le1Abstractﬁeld,rangingfromlearningstrategiestonewarchitectures[Rumelhartetal.,1986;LeCunetal.,1995;Ho...
Learning from Algorithms Machine Evolving
2023-11-14 21:44:0619791.41 MB7
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Efficiently sampling functions from Gaussian process posteriors
EfﬁcientlySamplingFunctionsfromGaussianProcessPosteriorsJamesT.Wilson1ViacheslavBorovitskiy23AlexanderTerenin1PeterMostowsky2MarcPeterDeisenroth4Abstracttionandlong-termversusshort-termrewards.Bay...
from Sampling Gaussian Process Functions
2023-11-14 21:44:001771718.01 KB27
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Efficient Policy Learning from Surrogate-Loss Classification Reductions
EfﬁcientPolicyLearningfromSurrogate-LossClassiﬁcationReductionsAndrewBennett1NathanKallus1Abstractapproachesmayincorrectlyinferthatapolicyofalwaysas-signinglessinvasivetreatmentswillobtainbettero...
Learning from Efficient Classification Policy
2023-11-14 21:44:00793854.54 KB12
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Certified Data Removal from Machine Learning Models
CertiﬁedDataRemovalfromMachineLearningModelsChuanGuo1TomGoldstein2AwniHannun2LaurensvanderMaaten2Abstractinferenceattacks(Yeometal.,2018;Carlinietal.,2019)areunsuccessfulondatathatwasremovedfromth...
Learning from Models Data Machine
2023-11-14 21:43:2511466.82 MB1
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CAUSE Learning Granger Causality from Event Sequences using Attribution Methods
CAUSE:LearningGrangerCausalityfromEventSequencesusingAttributionMethodsWeiZhang1ThomasKobberPanum2SomeshJha13PrasadChalasani3DavidPage4AbstractInthispaper,wefocusonthefundamentalproblemofun-coverin...
Learning from Event Causality Sequences
2023-11-14 21:43:246712.99 MB27
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Causal Structure Discovery from Distributions Arising from Mixtures of DAGs
CausalStructureDiscoveryfromDistributionsArisingfromMixturesofDAGsBasilSaeed1SnigdhaPanigrahi2CarolineUhler13AbstractseparationstatementsintheDAG(knownasd-separation)throughtheMarkovproperty(Laurit...
from Discovery Causal Structure Distributions
2023-11-14 21:43:241907944.5 KB3
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