"Bandits"的相关文档

标签“Bandits”的相关文档，共61条

Top-k eXtreme Contextual Bandits with Arm Hierarchy
Top-keXtremeContextualBanditswithArmHierarchyRajatSen1AlexanderRakhlin23LexingYing43RahulKidambi3DeanFoster3DanielHill3InderjitS.Dhillon53Abstract1.IntroductionMotivatedbymodernapplications,suchaso...
with Contextual Bandits Hierarchy Arm
2023-11-16 19:42:0912441.17 MB17
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Stochastic Multi-Armed Bandits with Unrestricted Delay Distributions
StochasticMulti-ArmedBanditswithUnrestrictedDelayDistributionsTalLancewicki1ShaharSegal1TomerKoren12YishayMansour12Abstracttion,likeintheclassicstochasticMABproblem.However,WestudythestochasticMult...
with Stochastic Delay Bandits Multi-armed
2023-11-16 19:41:57786402.74 KB28
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Robust Pure Exploration in Linear Bandits with Limited Budget
RobustPureExplorationinLinearBanditswithLimitedBudgetAyyaAlieva1AshokCutkosky2AbhimanyuDas3Abstracttheexplorationphaseshouldbesomehowefﬁcient-wewishtomakethebestuseofourlimitedbudgetinordertoWecon...
with Robust in Exploration Bandits
2023-11-16 19:41:38893463.98 KB23
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Quantile Bandits for Best Arms Identification
QuantileBanditsforBestArmsIdentiﬁcationMengyanZhang12ChengSoonOng21AbstractMean0.5-QuantileMean0.8-QuantileWeconsideravariantofthebestarmidentiﬁca-A3.503.50C1.452.33tiontaskinstochasticmulti-arme...
for Identification Bandits Quantile Best
2023-11-16 19:28:3715836.12 MB24
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Optimal Streaming Algorithms for Multi-Armed Bandits
OptimalStreamingAlgorithmsforMulti-ArmedBanditsTianyuanJin1KekeHuang1JingTang2XiaokuiXiao1Abstractson,1933),onlineadvertisement(Bertsimas&Mersereau,2007),andcrowdsourcing(Zhouetal.,2014).Ittypicall...
for Algorithms Optimal Bandits Multi-armed
2023-11-16 19:28:261878303.08 KB2
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Online Limited Memory Neural-Linear Bandits with Likelihood Matching
OnlineLimitedMemoryNeural-LinearBanditswithLikelihoodMatchingOﬁrNabati1TomZahavy12ShieMannor13Abstractplorationduringtherepresentationlearningphaseisstillanopenproblem.The-greedypolicy(Langford&Zh...
Online with Limited Bandits Memory
2023-11-16 19:28:241473828.93 KB10
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On Limited-Memory Subsampling Strategies for Bandits
OnLimited-MemorySubsamplingStrategiesforBanditsDorianBaudry1YoanRussac2OlivierCappé2AbstractMulti-armedBanditsmodelshavebeenusedtoaddressawiderangeofsequentialoptimizationtasksunderuncer-Therehasb...
for on Bandits Subsampling Strategies
2023-11-16 19:15:4317411.15 MB1
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Offline Contextual Bandits with Overparameterized Models
OfﬂineContextualBanditswithOverparameterizedModelsDavidBrandfonbrener1WilliamF.Whitney1RajeshRanganath1JoanBruna1AbstractIncontrast,thebestperformanceinmodernsupervisedlearningisoftenachievedbymas...
Models with Contextual Bandits Overparameterized
2023-11-16 19:15:401087599.3 KB24
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Near-Optimal Representation Learning for Linear Bandits and Linear RL
Near-OptimalRepresentationLearningforLinearBanditsandLinearRLJiachenHu1XiaoyuChen1ChiJin2LihongLi3LiweiWang14AbstractWhilerepresentationlearninghasachievedtremendoussuc-cessinavarietyofapplications...
Learning for and Bandits Representation
2023-11-16 19:15:33963392.32 KB3
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Leveraging Good Representations in Linear Contextual Bandits
LeveragingGoodRepresentationsinLinearContextualBanditsMatteoPapini†1AndreaTirinzoni1MarcelloRestelli1AlessandroLazaric2MatteoPirotta2Abstractrangeofdomains,includingrecommendationsystems,on-Thelin...
Representations in Contextual Good Bandits
2023-11-16 19:05:061242570.23 KB13
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Improved Regret Bounds of Bilinear Bandits using Action Space Analysis
ImprovedRegretBoundsofBilinearBanditsusingActionSpaceAnalysisKyoungseokJang1Kwang-SungJun2Se-YoungYun3WanmoKang1Abstractarrangecouplesbasedontheirexperiencestogetbetterrat-ingsandrewards.Balancinge...
of Using Bandits Regret bounds
2023-11-16 18:47:021468446.11 KB3
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High-dimensional Experimental Design and Kernel Bandits
High-DimensionalExperimentalDesignandKernelBanditsRomainCamilleri1JulianKatz-Samuels2KevinJamieson1AbstractWeconsiderthefollowinggamebetweenalearnerandna-ture:ateachtimet=1...T,thelearnerrequestsxt...
Kernel and High-dimensional Bandits Design
2023-11-16 18:46:551525435.25 KB4
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Fairness of Exposure in Stochastic Bandits
FairnessofExposureinStochasticBanditsLequnWang1YiweiBai1WenSun1ThorstenJoachims1AbstractWhilemaximizinguserresponsesmayarguablybeintheinterestoftheplatformanditsusersatleastintheshortterm,Contextua...
of Stochastic in Bandits Fairness
2023-11-16 18:38:081268949.6 KB27
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Dynamic Balancing for Model Selection in Bandits and RL
DynamicBalancingforModelSelectioninBanditsandRLAshokCutkosky1ChristophDann2AbhimanyuDas3ClaudioGentile2AldoPacchiano4ManishPurohit3Abstractsumptionsabouttheclassofpolicies,thesourcegeneratingreward...
for Selection Model in Dynamic
2023-11-16 18:30:5110931.07 MB15
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Combinatorial Blocking Bandits with Stochastic Delays
CombinatorialBlockingBanditswithStochasticDelaysAlexiaAtsidakou1OrestisPapadigenopoulos2SoumyaBasu3ConstantineCaramanis1SanjayShakkottai1AbstractCella&Cesa-Bianchi,2019).Thesevariantscaptureappli-c...
with Stochastic Bandits Combinatorial Delays
2023-11-16 18:11:221439591.24 KB20
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Best Arm Identification in Graphical Bilinear Bandits
BestArmIdentiﬁcationinGraphicalBilinearBanditsGeovaniRizk12AlbertThomas2IgorColin2RidaLaraki13YannChevaleyre1Abstractagent(e.g.,alltheconﬁgurationparametersoftheantennas),andreceivesanassociatedg...
Identification in Graphical Bandits Best
2023-11-16 18:07:4517181.06 MB30
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Bias-Robust Bayesian Optimization via Dueling Bandits
Bias-RobustBayesianOptimizationviaDuelingBanditsJohannesKirschner1AndreasKrause1AbstractWestudyasettingwherethelearner’sobjectiveistomax-imizeanunknownfunctionf:X→RwithadditiveWeconsiderBayesiano...
Optimization Bayesian via Dueling Bandits
2023-11-16 18:07:3612503.56 MB30
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Beyond $log^2(T)$ regret for decentralized Bandits in matching markets
Beyondlog2(T)RegretforDecentralizedBanditsinMatchingMarketsSoumyaBasu1KarthikAbinavSankararaman2AbishekSankararaman3AbstractBanditsisdedicatedtounderstandingalgorithmicprinciplesintheinterplayofcom...
for in Beyond Decentralized Bandits
2023-11-16 18:07:3616906.04 MB15
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Approximation Theory Based Methods for RKHS Bandits
ApproximationTheoryBasedMethodsforRKHSBanditsShoTakemori1MasahiroSato1AbstracttheadversarialRKHSbanditproblem,wherealearnerinter-actswithasequenceofanyfunctionsfromtheRKHSwithTheRKHSbanditproblem(a...
for Approximation Methods Based Theory
2023-11-16 18:00:321830704.04 KB26
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An Algorithm for Stochastic and Adversarial Bandits with Switching Costs
AnAlgorithmforStochasticandAdversarialBanditswithSwitchingCostsChloe´Rouyer1YevgenySeldin1Nicolo`Cesa-Bianchi2Abstractanarmdifferentfromtheoneplayedinthepreviousround.Suchswitchingcostmayoccurinth...
for Adversarial and An Algorithm
2023-11-16 18:00:30714429.45 KB16
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