"Algorithms"的相关文档 - 文库宝

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标签“Algorithms”的相关文档，共77条

Fast Algorithms for Stackelberg Prediction Game with Least Squares Loss
FastAlgorithmsforStackelbergPredictionGamewithLeastSquaresLossJialiWang1HeChen2RujunJiang1XudongLi1ZihaoLi2Abstractcertainareas,suchascybersecurity,thenatureofapplica-tionsrequireshighrobustnessofM...
for Algorithms with Fast Prediction
2023-11-16 18:38:071638451.7 KB21
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Emphatic Algorithms for Deep Reinforcement Learning
EmphaticAlgorithmsforDeepReinforcementLearningRayJiang1TomZahavy1ZhongwenXu1AdamWhite12MatteoHessel1CharlesBlundell1HadovanHasselt1AbstractManyreinforcementlearning(RL)agentslearnoff-policytosomeex...
Learning for Algorithms Reinforcement Deep
2023-11-16 18:38:0010602.78 MB27
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Benchmarks, Algorithms, and Metrics for Hierarchical Disentanglement
Benchmarks,Algorithms,andMetricsforHierarchicalDisentanglementAndrewSlavinRoss1FinaleDoshi-Velez1Abstractable(Locatelloetal.,2018),anditseemsunlikelythatcon-tinuous,factorized,ﬁxed-dimensionalrepr...
for and Algorithms Hierarchical Metrics
2023-11-16 18:07:44865792.3 KB4
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Accelerated Algorithms for Smooth Convex-Concave Minimax Problems with O(1 k^2) Rate on Squared Gradient Norm
AcceleratedAlgorithmsforSmoothConvex-ConcaveMinimaxProblemswithO(1/k2)RateonSquaredGradientNormTaeHoYoon1ErnestK.Ryu1Abstractvalueforquantifyingsuboptimality.Moreover,thenotionismeaningfulfordiffer...
for Algorithms Accelerated Minimax Smooth
2023-11-16 18:00:206643.2 MB4
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Thompson Sampling Algorithms for Mean-Variance Bandits
ThompsonSamplingAlgorithmsforMean-VarianceBanditsQiuyuZhu1VincentY.F.Tan123AbstractTheprimaryconcernofthisbodyofliteratureistoﬁndalearningalgorithmwhichcanmaximizetheexpectedcu-Themulti-armedbandi...
for Sampling Algorithms Bandits Thompson
2023-11-14 21:46:46597365.44 KB24
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Structure Adaptive Algorithms for Stochastic Bandits
StructureAdaptiveAlgorithmsforStochasticBanditsRe´myDegenne1HanShao2WouterM.Koolen3Abstractstartingwithasymptoticresultsinthe80sand90s(Lai&Robbins,1985;Graves&Lai,1997)andmovingtotheﬁ-Westudyrewa...
Adaptive for Algorithms Stochastic Bandits
2023-11-14 21:46:3613795.88 MB2
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Stochastic Gauss-Newton Algorithms for Nonconvex Compositional Optimization
StochasticGauss-NewtonAlgorithmsforNonconvexCompositionalOptimizationQuocTran-Dinh1NhanH.Pham1LamM.Nguyen2Abstractandnpi=1,thenbyintroductingFi(x):=i=1WedeveloptwonewstochasticGauss-Newtonalgorithm...
for Optimization Algorithms Stochastic Nonconvex
2023-11-14 21:46:321895596.2 KB18
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Provable Self-Play Algorithms for Competitive Reinforcement Learning
ProvableSelf-PlayAlgorithmsforCompetitiveReinforcementLearningYuBai1ChiJin2Abstractconﬂictingrewards(sothattheyessentiallycompetewitheachother)yetcanbetrainedinacentralizedfashion(i.e.Self-play,wh...
Learning for Algorithms Reinforcement Provable
2023-11-14 21:45:591891342.95 KB17
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Online metric Algorithms with untrusted predictions
OnlineMetricAlgorithmswithUntrustedPredictionsAntoniosAntoniadis1ChristianCoester2asdatacenters(Iranietal.,2003;Linetal.,2013),andareMarekElia´sˇ3AdamPolak4BertrandSimon5alsorelatedtotheexpertspr...
Online Algorithms with Metric Predictions
2023-11-14 21:45:391525306.82 KB7
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On Thompson Sampling with Langevin Algorithms
OnThompsonSamplingwithLangevinAlgorithmsEricMazumdar1AldoPacchiano1Yi-AnMa23PeterL.Bartlett14MichaelI.Jordan14Abstractexploitationtradeoffs(Aueretal.,2002;LattimoreandSzepesva´ri,2020),whereinanal...
Sampling Algorithms with on Langevin
2023-11-14 21:45:361201341.36 KB14
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New Oracle-Efficient Algorithms for Private Synthetic Data Release
NewOracle-EfﬁcientAlgorithmsforPrivateSyntheticDataReleaseGiuseppeVietri1GraceTian2MarkBun3ThomasSteinke4StevenWu1AbstractmensiondandadatasetD∈XnconsistingofthedataWepresentthreenewAlgorithmsforc...
for Algorithms Data Synthetic Private
2023-11-14 21:45:231315338.13 KB22
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Multi-Step Greedy Reinforcement Learning Algorithms
Multi-stepGreedyReinforcementLearningAlgorithmsMananTomar1YonathanEfroni2MohammadGhavamzadeh3Abstractestimations(Greensmithetal.,2004)andtohavedifﬁcultiesinhandlingfunctionapproximation(e.g.,Thrun...
Learning Algorithms Reinforcement Greedy Multi-Step
2023-11-14 21:45:168261.41 MB20
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Improved Optimistic Algorithms for Logistic Bandits
ImprovedOptimisticAlgorithmsforLogisticBanditsLouisFaury12MarcAbeille1Cle´mentCalauze`nes1OlivierFercoq2Abstractetal.(2017)andreferencestherein),itspracticalinterestislimitedbythelinearstructureof...
for Algorithms Bandits Improved Optimistic
2023-11-14 21:44:351273437.94 KB2
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Evaluating the Performance of Reinforcement Learning Algorithms
EvaluatingthePerformanceofReinforcementLearningAlgorithmsScottM.Jordan1YashChandak1DanielCohen1MengxueZhang1PhilipS.Thomas1AbstractusabilityofRLAlgorithms,wesuggestthatitshouldhavefourproperties.Fi...
Learning of Algorithms Reinforcement the
2023-11-14 21:44:0613829.01 MB29
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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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Customizing ML Predictions for Online Algorithms
CustomizingMLPredictionsForOnlineAlgorithmsKeertiAnand1RongGe1DebmalyaPanigrahi1AbstractThekeytothisquestionistheobservationthatunlikeinagenericlearningsetting,wearenotinterestedintraditionalApopul...
for Online Algorithms Predictions Customizing
2023-11-14 21:43:411857370.25 KB23
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Continuous-time Lower Bounds for Gradient-based Algorithms
Continuous-timeLowerBoundsforGradient-basedAlgorithmsMichaelMuehlebach1MichaelI.Jordan1Abstractindependentlowerboundsthenresultfromanunboundedincreaseintheproblemdimension.Thisestablishes,forThisar...
for Algorithms bounds Gradient-Based Continuous-Time
2023-11-14 21:43:36866481.65 KB2
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Approximation Guarantees of Local Search Algorithms via Localizability of Set Functions
ApproximationGuaranteesofLocalSearchAlgorithmsviaLocalizabilityofSetFunctionsKaitoFujii1Abstractproblemofﬁndingan(approximately)optimalsetfromallfeasiblesets.VariousmachinelearningtaskshavebeenThi...
of Algorithms Approximation Guarantees Local
2023-11-14 21:43:081421644.72 KB24
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A new regret analysis for Adam-type Algorithms
AnewregretanalysisforAdam-typeAlgorithmsAhmetAlacaoglu1YuraMalitsky1PanayotisMertikopoulos23VolkanCevher1AbstractOnecanwonderwhetherthereisaninherentobstacle–intheproposedmethodsorthesetting–whic...
for Algorithms Analysis Regret New
2023-11-14 21:42:521457259.28 KB2
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Submodular Maximization beyond Non-negativity Guarantees, Fast Algorithms, and Applications
SubmodularMaximizationbeyondNon-negativity:Guarantees,FastAlgorithms,andApplicationsChristopherHarshaw1MoranFeldman2JustinWard3AminKarbasi4Abstract1.IntroductionItisgenerallybelievedthatsubmodularf...
Submodular Maximization Algorithms Guarantees Beyond
2023-11-13 14:48:401664653.91 KB5
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