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标签“Functions”的相关文档，共40条

Stochastic Optimization for DC Functions and Non-smooth Non-convex Regularizers with Non-asymptotic Convergence
StochasticOptimizationforDCFunctionsandNon-smoothNon-convexRegularizerswithNon-asymptoticConvergenceYiXu1QiQi1QihangLin2RongJin3TianbaoYang1Abstractwhereg(·)andh(·)arereal-valuedlower-semicontinu...
for Optimization Non-Smooth and Stochastic
2023-11-13 14:48:381218544.36 KB12
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Shape Constraints for Set Functions
ShapeConstraintsforSetFunctionsAndrewCotter1MayaR.Gupta1HeinrichJiang1ErezLouidor1JamesMuller1TamanNarayan1SerenaWang1TaoZhu1AbstractForexample,supposeonewantstopredicthowgoodarestaurantisbasedonit...
for Shape Set Functions Constraints
2023-11-13 14:48:331515959.23 KB16
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Separating value Functions across time-scales
SeparatingvalueFunctionsacrosstime-scalesJoshuaRomoff12PeterHenderson3AhmedTouati42EmmaBrunskill3JoellePineau12YannOllivier2Abstractvergenceproperties,makinglearningmoreefﬁcientandstable(Bertsekas...
Value Functions Across Separating time-scales
2023-11-13 14:48:3218461.1 MB9
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PAC Learnability of Node Functions in Networked Dynamical Systems
PACLearnabilityofNodeFunctionsinNetworkedDynamicalSystemsAbhijinAdiga1ChrisJ.Kuhlman1MadhavV.Marathe12S.S.Ravi13AnilK.Vullikanti12Abstract(Beietal.,2016;Kleinbergetal.,2017;Adigaetal.,2018).Weconsi...
of in Node Functions Networked
2023-11-13 14:48:11880488.38 KB21
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On the Limitations of Representing Functions on Sets
OntheLimitationsofRepresentingFunctionsonSetsEdwardWagstaff1FabianB.Fuchs1MartinEngelcke1IngmarPosner1MichaelOsborne1AbstractInputOutputRecentworkontherepresentationofFunctionsϕ+ρf(x1,…,xM)onset...
of on on the Functions
2023-11-13 14:48:0517021.2 MB4
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Efficient learning of smooth probability Functions from Bernoulli tests with guarantees
EfﬁcientlearningofsmoothprobabilityFunctionsfromBernoullitestswithguaranteesPaulRolland1AliKavis1AlexImmer1AdishSingla2VolkanCevher1Abstractgrowscubiclywiththenumberoftests,andcanthusbeinapplicabl...
Learning of from Efficient Functions
2023-11-13 14:47:011342638.86 KB25
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Composing Value Functions in Reinforcement Learning
ComposingValueFunctionsinReinforcementLearningBenjaminvanNiekerk1StevenJames1AdamEarle1BenjaminRosman12Abstractpreviousabilities.Animportantpropertyforlifelong-learningInreinforcementlearning(RL),o...
Learning Reinforcement in Composing Value
2023-11-13 14:46:425032.37 MB24
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Characterization of Convex Objective Functions and Optimal Expected Convergence Rates for SGD
CharacterizationofConvexObjectiveFunctionsandOptimalExpectedConvergenceRatesforSGDMartenvanDijk1LamM.Nguyen2PhuongHaNguyen1DzungT.Phan2AbstractAlgorithm1StochasticGradientDescent(SGD)MethodWestudyS...
of and Optimal Convex Functions
2023-11-13 14:46:361079396.86 KB5
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Bayesian Optimization of Composite Functions
BayesianOptimizationofCompositeFunctionsRaulAstudillo1PeterI.Frazier12AbstractSokolov,2018);inmaterialsanddrugdesign(Kapetanovic,2008;Frazier&Wang,2016)whenseekingtodesignaWeconsideroptimizationofc...
of Optimization Bayesian Functions Composite
2023-11-13 14:46:3014714.35 MB2
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Adaptive Regret of Convex and Smooth Functions
AdaptiveRegretofConvexandSmoothFunctionsLijunZhang1Tie-YanLiu2Zhi-HuaZhou1Abstractreal-worldapplication,wearealsofacinganotherdynamicchallenge—theoptimalsolutionmaychangecontinuously.Weinvestigate...
Adaptive of and Convex Functions
2023-11-13 14:46:19901287.5 KB5
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Smoothed Action Value Functions for Learning Gaussian Policies
SmoothedActionValueFunctionsforLearningGaussianPoliciesOﬁrNachum1MohammadNorouzi1GeorgeTucker1DaleSchuurmans12Abstracthard-maxnotionofQ-value,deﬁnedastheexpectedreturnoffollowinganoptimalpolicy.S...
Learning for Gaussian Value Functions
2023-11-13 12:00:41692687.26 KB5
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Lyapunov Functions for First-Order Methods Tight Automated Convergence Guarantees
LyapunovFunctionsforFirst-OrderMethods:TightAutomatedConvergenceGuaranteesAdrienTaylor1BryanVanScoy2LaurentLessard23Abstractmethod,withanenergyofzerocorrespondingtoreachingtheoptimalsolutionof(P).T...
for Methods Automated Functions Tight
2023-11-13 12:00:061812329.16 KB13
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Learning to Optimize Combinatorial Functions
LearningtoOptimizeCombinatorialFunctionsNirRosenfeld1EricBalkanski1AmirGloberson2YaronSinger1Abstractrithmsforlearninginpractice.EncouragingresultsshowthatinmanycasessubmodularFunctionscanbeefﬁcie...
Learning to Functions Combinatorial Optimize
2023-11-13 12:01:001601458.72 KB7
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Fast Maximization of Non-Submodular, Monotonic Functions on the Integer Lattice
FastMaximizationofNon-Submodular,MonotonicFunctionsontheIntegerLatticeAlanKuhnle1J.DavidSmith1VictoriaG.Crawford1MyT.Thai1AbstractKempe,2011;Horel&Singer,2016).Inthiswork,weTheoptimizationofsubmodu...
of Maximization on Fast Functions
2023-11-13 11:59:34790618.35 KB6
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Understanding Black-box Predictions via Influence Functions
UnderstandingBlack-boxPredictionsviaInﬂuenceFunctionsPangWeiKoh1PercyLiang1Abstractpoint(Ribeiroetal.,2016)orbyperturbingthetestpointtoseehowthepredictionchanges(Simonyanetal.,2013;LiHowcanweexpla...
via Functions Influence Understanding Black-box
2023-11-12 20:45:266824.59 MB24
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Robust Budget Allocation via Continuous Submodular Functions
RobustBudgetAllocationviaContinuousSubmodularFunctionsMatthewStaib1StefanieJegelka1Abstractpersontisweightedwithaprobabilitypstthat,e.g.,anadvertisementonradiostationswillinﬂuencepersonttoTheoptim...
Submodular via Robust Allocation Functions
2023-11-12 20:45:091918719.44 KB16
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Neural Networks and Rational Functions
NeuralNetworksandRationalFunctionsMatusTelgarsky1Abstract4spikeNeuralnetworksandrationalFunctionsefﬁ-ratcientlyapproximateeachother.Inmorede-tail,itisshownherethatforanyReLUnet-3polywork,thereexis...
Neural Networks and Functions Rational
2023-11-12 20:44:5311501006.68 KB5
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Guarantees for Greedy Maximization of Non-submodular Functions with Applications
GuaranteesforGreedyMaximizationofNon-submodularFunctionswithApplicationsAndrewAnBian1JoachimM.Buhmann1AndreasKrause1SebastianTschiatschek1AbstractwhereV={v1,...,vn}isthegroundset.Speciﬁcally,inexp...
of for Maximization Guarantees Functions
2023-11-12 20:44:2915311.03 MB28
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Global optimization of Lipschitz Functions
GlobaloptimizationofLipschitzFunctionsCe´dricMalherbe1NicolasVayatis1Abstractglobaloptimization(Pinte´r,1991),black-boxoptimization(Jonesetal.,1998)orderivative-freeoptimization(Rios&Thegoalofthe...
of Optimization Functions Global Lipschitz
2023-11-12 20:44:271321481.48 KB1
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Depth-Width Tradeoffs in Approximating Natural Functions with Neural Networks
Depth-WidthTradeoffsinApproximatingNaturalFunctionswithNeuralNetworksItaySafran1OhadShamir1Abstractcentempiricalevidencesuggeststhatstandardfeedforwarddeepnetworksarehardertooptimizethanshallowerne...
with in Natural Depth-Width Tradeoffs
2023-11-12 20:44:121960420.26 KB2
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