"Rules"的相关文档

Meta-Learning Bidirectional Update Rules
Meta-LearningBidirectionalUpdateRulesMarkSandler1MaxVladymyrov1AndreyZhmoginov1NolanMiller1AndrewJackson1TomMadams1BlaiseAgu¨erayArcas1AbstracttracedbacktoRobbins&Monro(1951).Sinceitsintro-duction...
Bidirectional Meta-Learning Update Rules
2023-11-16 19:05:1819786.6 MB1
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Safe screening Rules for L0-regression
SafeScreeningRulesfor0-RegressionfromPerspectiveRelaxationsAlperAtamtu¨rk1Andre´sGo´mez2Abstract2015),andthe2(ridge)regularization(Hoerl&Kennard,1970)imposesbias/shrinkageintheregressioncoefﬁci...
for Rules Safe Screening L0-regression
2023-11-14 21:46:151788682.15 KB1
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Screening Rules for Lasso with non-convex Sparse Regularizers
ScreeningRulesforLassowithNon-ConvexSparseRegularizersAlainRakotomamonjy12GillesGasso1JosephSalmon3AbstractWhiletheLassohashadagreatimpactonmachinelearn-ingandsignalprocessingcommunitiesgivensomesu...
for Sparse with Non-convex Lasso
2023-11-13 14:48:2913853.89 MB28
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Decoupling Gradient-Like Learning Rules from Representations
DecouplingGradient-LikeLearningRulesfromRepresentationsPhilipS.Thomas1ChristophDann2EmmaBrunskill3Abstractworkpoorlywith,orbeincompatiblewith,others.Althoughthisintertwiningisunavoidableandislikely...
Learning from Representations Decoupling Gradient-Like
2023-11-13 11:59:231463947.17 KB24
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