"Least"的相关文档

Robust Reinforcement Learning using Least Squares Policy Iteration with Provable Performance Guarantees
RobustReinforcementLearningusingLeastSquaresPolicyIterationwithProvablePerformanceGuaranteesKishanPanaganti1DileepKalathil1AbstractThismismatchbetweenthetrainingandtestingenvironmentparameterscansi...
Learning Using Reinforcement Robust Policy
2023-11-16 19:41:3814402.55 MB14
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Private Alternating Least Squares Practical Private Matrix Completion with Tighter Rates
PrivateAlternatingLeastSquares:PracticalPrivateMatrixCompletionwithTighterRatesSteveChien1PrateekJain1WalidKrichene1SteffenRendle1ShuangSong1AbhradeepThakurta1LiZhang1Abstractknownuser-itemratingsm...
Matrix Completion Private Least Squares
2023-11-16 19:28:3119062.61 MB24
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Message Passing Least Squares A Unified Framework for Fast and Robust Group Synchronization
MessagePassingLeastSquaresFrameworkanditsApplicationtoRotationSynchronizationYunpengShi1GiladLerman1Abstractalsoasolution.Theabovementionedsynchronizationproblems(rotation,permutation,andZ2synchron...
for Least Squares Message Passing
2023-11-14 21:45:091851482.57 KB12
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Online Partial Least Square Optimization Dropping Convexity for Better Efficiency and Scalability
OnlinePartialLeastSquareOptimization:DroppingConvexityforBetterEfﬁciencyandScalabilityZhehuiChen1LinF.Yang2ChrisJ.Li3TuoZhao1Abstract2011).Althoughthesedataareusuallyunlabeled,thereex-Multiviewrep...
Online Optimization Least Convexity Partial
2023-11-12 20:44:58639342.87 KB27
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Differentially Private Ordinary Least Squares
DifferentiallyPrivateOrdinaryLeastSquaresOrSheffet1Abstractetal.,2008;Chaudhurietal.,2011;Kiferetal.,2012;Bass-ilyetal.,2014).However,allexistingbodyofworkonLinearregressionisoneofthemostprevalentd...
Differentially Private Ordinary Least Squares
2023-11-12 20:44:14860670.53 KB12
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Robust Reinforcement Learning using Least Squares Policy Iteration with Provable Performance Guarantees

Private Alternating Least Squares Practical Private Matrix Completion with Tighter Rates

Message Passing Least Squares A Unified Framework for Fast and Robust Group Synchronization

Online Partial Least Square Optimization Dropping Convexity for Better Efficiency and Scalability

Differentially Private Ordinary Least Squares