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标签“Linear”的相关文档，共83条

Task-Optimal Exploration in Linear Dynamical Systems
Task-OptimalExplorationinLinearDynamicalSystemsAndrewWagenmaker1MaxSimchowitz2KevinJamieson1Abstracttaintyabouttheenvironment,anaivestrategymightbetoexploretheenvironmentuntilitisuniformlyunderstoo...
in Exploration Systems Linear Dynamical
2023-11-16 19:42:015741.23 MB18
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Sample Complexity of Robust Linear Classification on Separated Data
SampleComplexityofRobustLinearClassiﬁcationonSeparatedDataRobiBhattacharjee1SomeshJha2KamalikaChaudhuri1Abstractthusaimstoﬁndaclassiﬁerthatmaximizesaccuracyonexamplesthataredistancerormorefromth...
of Complexity on Robust Classification
2023-11-16 19:41:401062390.12 KB20
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Safe Reinforcement Learning with Linear Function Approximation
SafeReinforcementLearningwithLinearFunctionApproximationSanaeAmani1ChristosThrampoulidis2LinF.Yang1Abstractactionmayleadtocatastrophicresults.Thus,safetyinRLhasbecomeaseriousissuethatrestrictstheap...
Learning Approximation with Reinforcement Linear
2023-11-16 19:41:391103663.7 KB15
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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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Robust Inference for High-Dimensional Linear Models via Residual Randomization
RobustInferenceforHigh-DimensionalLinearModelsviaResidualRandomizationY.SamuelWang1SiKaiLee1PanosToulis1MladenKolar1Abstractsamplesplittingprocedurestoformvalidp-values.Zhang&Zhang(2014),VandeGeere...
for Inference Models High-dimensional via
2023-11-16 19:41:37528616.13 KB2
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Relative Positional Encoding for Transformers with Linear Complexity
RelativePositionalEncodingforTransformerswithLinearComplexityAntoineLiutkus1OndrˇejC´ıfka2Shih-LunWu345UmutS¸ims¸ekli6Yi-HsuanYang35Gae¨lRichard2AbstractFigure1.Examplesofattentionpatternsobs...
for with Linear Relative Encoding
2023-11-16 19:41:3118051.46 MB24
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Regularizing towards Causal Invariance Linear Models with Proxies
RegularizingtowardsCausalInvariance:LinearModelswithProxiesMichaelOberst1NikolajThams2JonasPeters2DavidSontag1AbstractβxAβyWeproposeamethodforlearningLinearmod-XαYelswhosepredictiveperformanceis...
Models with Causal Linear Towards
2023-11-16 19:41:291075977.73 KB8
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You Only Sample (Almost) Once Linear Cost Self-Attention Via Bernoulli Sampling
YouOnlySample(Almost)Once:LinearCostSelf-AttentionViaBernoulliSamplingZhanpengZeng1YunyangXiong1SathyaN.Ravi2ShaileshAcharya3GlennFung3VikasSingh1Abstractlanguageinference(Devlinetal.,2019)andparap...
Once Sample Linear Almost Only
2023-11-16 19:41:2818401.79 MB6
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Provable Meta-Learning of Linear Representations
ProvableMeta-LearningofLinearRepresentationsNileshTripuraneni1ChiJin2MichaelI.Jordan1Abstractrangingfromdeepreinforcementlearning(Baevskietal.,2019)tonaturallanguageprocessing(Ando&Zhang,2005;Meta-...
of Representations Linear Meta-Learning Provable
2023-11-16 19:28:33946556.28 KB30
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Online A-Optimal Design and Active Linear Regression
OnlineA-OptimalDesignandActiveLinearRegressionXavierFontaine1PierrePerrault2MichalValko3VianneyPerchet45Abstractwaytoconstructanestimatoristomakeexperimentsandtogatherdataontheestimand.Inthepolling...
Active Online and Regression Linear
2023-11-16 19:28:24639321.45 KB11
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On Monotonic Linear Interpolation of Neural Network Parameters
AnalyzingMonotonicLinearInterpolationinNeuralNetworkLossLandscapesJamesLucas12JuhanBae12MichaelR.Zhang12StanislavFort3RichardZemel12RogerGrosse12AbstractFigure1.MonotonicLinearinterpolationforaResN...
of Neural on Network Linear
2023-11-16 19:15:447182.9 MB29
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On Linear Identifiability of Learned Representations
OnLinearIdentiﬁabilityofLearnedRepresentationsGeoffreyRoeder1LukeMetz2DiederikP.Kingma2Abstractetal.,2018;Devlinetal.,2018),andsequentialdecisionmaking(Oordetal.,2018).Identiﬁabilityisadesirablep...
of Representations on Linear Learned
2023-11-16 19:15:43840969.85 KB16
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Oblivious Sketching-based Central Path Method for Linear Programming
ObliviousSketching-basedCentralPathMethodforLinearProgrammingZhaoSong1ZhengYu2AbstractConsidersolvingageneralLinearprograminstandardformminAx=b,x≥0cxofsizeA∈Rd×nwithoutredundantInthiswork,weprop...
for Method Linear Path Sketching-based
2023-11-16 19:15:401714436.93 KB4
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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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Near-Optimal Linear Regression under Distribution Shift
Near-OptimalLinearRegressionunderDistributionShiftQiLei1WeiHu1JasonD.Lee1Abstractprovidehelpfulmarginaldistributioninformationaboutthetargetdomain.AlthoughthisapproachisintegraltomanyTransferlearni...
Regression under Distribution Linear Near-Optimal
2023-11-16 19:15:3315711.26 MB1
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Logarithmic Regret for Reinforcement Learning with Linear Function Approximation
LogarithmicRegretforReinforcementLearningwithLinearFunctionApproximationJiafanHe1DongruoZhou1QuanquanGu1AbstractAcommonapproachtocopewithhigh-dimensionalstateandactionspacesistoutilizefunctionappro...
Learning for with Reinforcement Regret
2023-11-16 19:05:101276340.76 KB17
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Leveraging Sparse Linear Layers for Debuggable Deep Networks
LeveragingSparseLinearLayersforDebuggableDeepNetworksEricWong1ShibaniSanturkar1AleksanderMa˛dry1Abstractmodel’sfailuremodesorevaluatecorrectiveinterventionswithoutin-depthproblem-speciﬁcstudies....
for Sparse Deep Linear Leveraging
2023-11-16 19:05:0810486.34 MB18
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Linear Transformers Are Secretly Fast Weight Programmers
LinearTransformersAreSecretlyFastWeightProgrammersImanolSchlag∗1KazukiIrie∗1Ju¨rgenSchmidhuber1Abstractﬁeldnetwork(Ramsaueretal.,2021;Krotov&Hopﬁeld,2016;Demircigiletal.,2017).Itextendsaformof...
Fast Are Linear Weight Transformers
2023-11-16 19:05:089921.27 MB10
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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 Confidence Bounds for the Linear Logistic Model and Applications to Bandits
ImprovedConﬁdenceBoundsfortheLinearLogisticModelandApplicationstoBanditsKwang-SungJun1LalitJain2BlakeMason3HoussamNassif4Abstractafeaturevectorforeacharm.Acommonassumptionisthattherewardisanoisyli...
for the bounds Linear Improved
2023-11-16 18:47:00537460.77 KB9
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