"Step"的相关文档

Guarantees for Tuning the Step Size using a Learning-to-Learn Approach
GuaranteesforTuningtheStepSizeusingaLearning-to-LearnApproachXiangWang1ShuaiYuan1ChenweiWu1RongGe1Abstractrinetal.(2015)consideredtheideaoftuningtheseparame-tersbyoptimization—thatis,considerameta...
for Using Guarantees the Tuning
2023-11-16 18:46:52717372.01 KB23
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A Second look at Exponential and Cosine Step Sizes Simplicity, Adaptivity, and Performance
ASecondlookatExponentialandCosineStepSizes:Simplicity,Adaptivity,andPerformanceXiaoyuLi∗1ZhenxunZhuang∗2FrancescoOrabona123Abstracttypicallybetterscalewiththecomplexityofthepredic-torsandtheamoun...
and at Exponential Look Step
2023-11-16 17:51:5812821 MB16
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On Convergence-Diagnostic based Step Sizes for Stochastic Gradient Descent
OnConvergence-DiagnosticbasedStepSizesforStochasticGradientDescentScottPesme1AymericDieuleveut2NicolasFlammarion1Abstractwarmrestarts(Loshchilov&Hutter,2016).Howeverthosestrategiestypicallydonotcom...
for on Stochastic Based Step
2023-11-14 21:45:281130800.97 KB27
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Optimal Mini-Batch and Step Sizes for SAGA
OptimalMini-BatchandStepSizesforSAGANidhamGazagnadou1RobertM.Gower1JosephSalmon2Abstractpoint.SolvingtheERMproblemisoftentimeconsumingforlargenumberofsamplesn,somuchsothatalgorithmsRecentlyithasbee...
for and Optimal SAGA Step
2023-11-13 14:48:106722.88 MB30
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Automatic Classifiers as Scientific Instruments One Step Further Away from Ground-Truth
AutomaticClassiﬁersasScientiﬁcInstruments:OneStepFurtherAwayfromGround-TruthJacobWhitehill1AnandRamakrishnan1Abstractotherﬁeldsbyservingasscientiﬁcinstrumentsthatcanmeasurebehavioral,medical,so...
Automatic Classifiers as One Scientific
2023-11-13 14:46:2711391.83 MB20
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Guarantees for Tuning the Step Size using a Learning-to-Learn Approach

A Second look at Exponential and Cosine Step Sizes Simplicity, Adaptivity, and Performance

On Convergence-Diagnostic based Step Sizes for Stochastic Gradient Descent

Optimal Mini-Batch and Step Sizes for SAGA

Automatic Classifiers as Scientific Instruments One Step Further Away from Ground-Truth