"Samples"的相关文档

标签“Samples”的相关文档，共11条

Towards Practical Mean Bounds for Small Samples
TowardsPracticalMeanBoundsforSmallSamplesMyPhan1PhilipS.Thomas1ErikLearned-Miller1Abstractrefertotwoseparatesettings,theone-endedsupportsetting,inwhichthedistributionisknowntofallintheintervalHisto...
for Mean bounds Samples Practical
2023-11-16 19:42:1113021.26 MB13
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Network Inference and Influence Maximization from Samples
NetworkInferenceandInﬂuenceMaximizationfromSamplesWeiChen1XiaomingSun23JialinZhang23ZhijieZhang23Abstractnodescalledseedstakessomepieceofinformation(news,ideasoropinions,etc.),andtheinformationspr...
from Maximization Inference and Network
2023-11-16 19:15:341116289.32 KB9
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Optimization from Structured Samples for Coverage Functions
OptimizationfromStructuredSamplesforCoverageFunctionsWeiChen1XiaomingSun23JialinZhang23ZhijieZhang23Abstracteters.Thecomputationaltaskistooptimizeanobjectivefunctiongivenparametersofthemodel.Onesuc...
for from Optimization Functions Structured
2023-11-14 21:45:441951283.81 KB14
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Transfer of Samples in Policy Search via Multiple Importance Sampling
TransferofSamplesinPolicySearchviaMultipleImportanceSamplingAndreaTirinzoni1MattiaSalvini1MarcelloRestelli1Abstractagentissupposedtoreuseknowledgeacquiredfromasetofsourcetaskstoacceleratethelearnin...
of via in Policy Transfer
2023-11-13 14:48:51604452.37 KB15
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Statistics and Samples in Distributional Reinforcement Learning
StatisticsandSamplesinDistributionalReinforcementLearningMarkRowland1RobertDadashi2SaurabhKumar2Re´miMunos1MarcG.Bellemare2WillDabney1AbstractthatDRLalgorithmscanbeviewedascombiningastatisti-cales...
Learning and Reinforcement in Samples
2023-11-13 14:48:3716412.3 MB25
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SELFIE Refurbishing Unclean Samples for Robust Deep Learning
SELFIE:RefurbishingUncleanSamplesforRobustDeepLearningHwanjunSong1MinseokKim1Jae-GilLee1Abstracttransitionmatrix(Zhangetal.,2017;Goldberger&Ben-Reuven,2017;Patrinietal.,2017;Changetal.,2017).AsOwin...
for Deep Robust Samples SELFIE
2023-11-13 14:48:301569438.53 KB5
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When Samples Are Strategically Selected
WhenSamplesAreStrategicallySelectedHanruiZhang1YuCheng1VincentConitzer1Abstract1988;Friedman,1993)),thereisstilltheconcernthattheagentsendsonlyabiasedcollectionofSamples.IfwedoInstandardclassiﬁcat...
Are Samples When Strategically Selected
2023-11-13 14:46:081933258.49 KB17
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Not All Samples Are Created Equal Deep Learning with Importance Sampling
NotAllSamplesAreCreatedEqual:DeepLearningwithImportanceSamplingAngelosKatharopoulos12Franc¸oisFleuret12Abstractmodel.Tothisend,weproposeanovelimportancesamplingschemethatacceleratesthetrainingofan...
Deep Are Samples All Not
2023-11-13 12:00:17548534.6 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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Finding Influential Training Samples for Gradient Boosted Decision Trees
FindingInﬂuentialTrainingSamplesforGradientBoostedDecisionTreesBorisSharchilev12YuryUstinovsky3PavelSerdyukov2MaartendeRijke1Abstract(2)boostingdeveloper’strustinthemodel’sperformanceinscenarios...
for Gradient Boosted Samples Training
2023-11-13 11:59:36606417.17 KB1
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Nyström Method with Kernel K-means++ Samples as Landmarks
Nystro¨mMethodwithKernelK-means++SamplesasLandmarksDinoOglic12ThomasGa¨rtner2AbstractoreigendecompositionwhichscaleasOn3.ToovercomethiscomputationalshortcomingandscalekernelmethodsWeinvestigate,t...
Kernel with Method Nystr K-means++
2023-11-12 20:44:541776415.39 KB12
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