"Minimax"的相关文档

标签“Minimax”的相关文档，共14条

MOTS Minimax Optimal Thompson Sampling
MOTS:MinimaxOptimalThompsonSamplingTianyuanJin1PanXu2JiemingShi3XiaokuiXiao1QuanquanGu2Abstractplayingthebestarmandplayingthearmaccordingtothestrategy,whichisalsocalledtheregretofabanditstrategy.Th...
Sampling Optimal Minimax Thompson MOTS
2023-11-16 19:15:2920022.99 MB3
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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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A Wasserstein Minimax Framework for Mixed Linear Regression
AWassersteinMinimaxFrameworkforMixedLinearRegressionTheoDiamandis1YoninaC.Eldar2AlirezaFallah1FarzanFarnia1AsumanOzdaglar1Abstractexample,speechdataorgeneticdatamayexhibitaclustereddistributionbase...
for Regression Linear Minimax Wasserstein
2023-11-16 18:00:191148523.71 KB15
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On Gradient Descent Ascent for Nonconvex-Concave Minimax Problems
OnGradientDescentAscentforNonconvex-ConcaveMinimaxProblemsTianyiLin1ChiJin2Michael.I.Jordan3Abstractincludinggenerativeadversarialnetworks(GANs)(Good-fellowetal.,2014),statistics(Xuetal.,2009;Abade...
for Gradient Descent on Minimax
2023-11-14 21:45:29865561.62 KB24
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Minimax Weight and Q-Function Learning for Off-Policy Evaluation
MinimaxWeightandQ-FunctionLearningforOff-PolicyEvaluationMasatoshiUehara1JiaweiHuang2NanJiang2Abstractfromthecommunity(Liuetal.,2018;Xieetal.,2019),astheyovercomethecurseofhorizonwithrelativelymild...
Learning for and Off-Policy Minimax
2023-11-14 21:45:111945440.35 KB14
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Minimax Pareto Fairness A Multi Objective Perspective
MinimaxParetoFairness:AMultiObjectivePerspectiveNataliaMartinez1MartinBertran1GuillermoSapiro1Abstractgorithmswhoseoutputsareindependentofthesensitiveattributegiventheobjective’sgroundtruth(e.g.,E...
Fairness Minimax Perspective Objective Pareto
2023-11-14 21:45:1014431.18 MB27
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Minimax Rate for Learning From Pairwise Comparisons in the BTL Model
MinimaxRateforLearningFromPairwiseComparisonsintheBTLModelJulienHendrickx1AlexOlshevsky2VenkateshSaligrama2AbstractAnalternativelineofresearchhasexploreddatafusionbasedonbettercalibratedmeasures,su...
Learning for from Comparisons Minimax
2023-11-14 21:45:101025320.19 KB23
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Lower Complexity Bounds for Finite-Sum Convex-Concave Minimax Optimization Problems
LowerComplexityBoundsforFinite-SumConvex-ConcaveMinimaxOptimizationProblemsGuangzengXie1LuoLuo2YijiangLian3ZhihuaZhang45AbstractconvexsuchthatX⊆RdxandY⊆Rdy.Thisformula-tioncontainsseveralpopularm...
for Complexity bounds Minimax Finite-Sum
2023-11-14 21:45:051366399.12 KB29
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Improved Bounds on Minimax Regret under Logarithmic Loss via Self-Concordance
ImprovedBoundsonMinimaxRegretunderLogarithmicLossviaSelf-ConcordanceBlairBilodeau123DylanJ.Foster4DanielM.Roy123AbstractTheloglosspenalizestheplayerbasedonhowmuchprob-abilitymasstheyplaceontheactua...
on under Regret bounds Improved
2023-11-14 21:44:341058393.3 KB18
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A Swiss Army Knife for Minimax Optimal Transport
ASwissArmyKnifeforMinimaxOptimalTransportSoﬁenDhouib1IevgenRedko2TanguyKerdoncuff2Re´miEmonet2MarcSebban2AbstractcomparecomplexobjectsbasedontheOTproblem(Monge,1781)thatroughlyquantiﬁestheminima...
for Optimal Transport Minimax Swiss
2023-11-14 21:42:536942.64 MB23
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Minimax Concave Penalized Multi-Armed Bandit Model with High-Dimensional Covariates
MinimaxConcavePenalizedMulti-ArmedBanditModelwithHigh-DimensionalConvariatesXueWang1MikeMingchengWei2TaoYao1Abstractexample,doctors(i.e.,decision-makers)canpersonalizetreatmentsforpatients(i.e.,use...
with Model Bandit Minimax Multi-armed
2023-11-13 12:00:10887823.38 KB22
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K-Beam Minimax Efficient Optimization for Deep Adversarial Learning
K-BeamMinimax:EfﬁcientOptimizationforDeepAdversarialLearningJihunHamm1Yung-KyunNoh2AbstractTodeﬁnetheproblem,considerareal-valuedfunctionf(u,v)onasubsetU×V⊆Rd×RD.A(continuous)min-Minimaxoptimi...
for Efficient Optimization Adversarial Deep
2023-11-13 11:59:5010067.05 MB17
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Analysis of Minimax Error Rate for Crowdsourcing and Its Application to Worker Clustering Model
AnalysisofMinimaxErrorRateforCrowdsourcingandItsApplicationtoWorkerClusteringModelHideakiImamura12IsseiSato12MasashiSugiyama21Abstractsolvethisproblembyprovidingredundancyforlabeling,i.e.,bycollect...
of for Analysis Minimax Rate
2023-11-13 11:59:0314356.34 MB14
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Minimax Regret Bounds for Reinforcement Learning
MinimaxRegretBoundsforReinforcementLearningMohammadGheshlaghiAzar1IanOsband1RémiMunos1AbstractThemostcommonapproachtothislearningproblemistoseparatetheprocessofestimationandoptimization.Weconsider...
Learning for Reinforcement Regret bounds
2023-11-12 20:44:481617405.06 KB16
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