"Regression"的相关文档 - 文库宝

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标签“Regression”的相关文档，共56条

Scalable Gaussian Process Regression for Kernels with a Non-Stationary Phase
ScalableGaussianProcessSeparationforKernelswithaNon-StationaryPhaseJanGraßhoff1AlexandraJankowski1PhilippRostalski1Abstractproposed(Liuetal.,2018),oneofwhichisbasedoncom-putinglow-rankapproximatio...
for with Gaussian Process Regression
2023-11-14 21:46:181465770.59 KB18
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Randomly Projected Additive Gaussian Processes for Regression
RandomlyProjectedAdditiveGaussianProcessesforRegressionIanDelbridge1DavidBindel1AndrewGordonWilson2Abstractsmall-dataregime,wherecarefuluncertaintyrepresentationisparticularlycrucial,strongpriorspr...
for Gaussian Regression Processes Projected
2023-11-14 21:46:041680481.9 KB23
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Piecewise Linear Regression via a Difference of Convex Functions
PiecewiseLinearRegressionviaaDifferenceofConvexFunctionsAliSiahkamari1AdityaGangrade2BrianKulis1VenkateshSaligrama1Abstractproblemisalgorithmicallychallenginginhigh-dimensions,andmanyapproachestoth...
of Regression via Convex Linear
2023-11-14 21:45:501838985.88 KB19
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Partial Trace Regression and Low-Rank Kraus Decomposition
PartialTraceRegressionandLow-RankKrausDecompositionHachemKadri1StéphaneAyache1RiikkaHuusari2AlainRakotomamonjy34LivaRalaivola4AbstractFigure1.Illustrationofthepartialtraceoperation.Thepartialtrace...
and Low-Rank Regression Decomposition Partial
2023-11-14 21:45:491511885.63 KB26
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Optimal Estimator for Unlabeled Linear Regression
OptimalEstimatorforUnlabeledLinearRegressionHangZhang,PingLiCognitiveComputingLabBaiduResearch10900NE8thST.Bellevue,WA98004,USA{zhanghanghitomi,pingli98}@gmail.comAbstractthematrixofmeasurements.Wh...
for Regression Optimal Linear Unlabeled
2023-11-14 21:45:411811555.38 KB14
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One-shot Distributed Ridge Regression in High Dimensions
One-shotDistributedRidgeRegressioninHighDimensionsEdgarDobriban1YueSheng12Abstractspeaking,thedataisdividedupamongcomputingunits,whichperformmostofthecomputationlocally,andsyn-Toscaleupdataanalysis...
Distributed Regression in High Dimensions
2023-11-14 21:45:361854566.27 KB17
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On Coresets for Regularized Regression
OnCoresetsforRegularizedRegressionRachitChhaya1AnirbanDasgupta1SupratimShit1Abstractusuallyindependentofthesizeoftheoriginaldatasetmak-ingtrainingonthemmuchquicker.SamplingbasedcoresetsWestudytheef...
for on Regression Coresets Regularized
2023-11-14 21:45:27540379.77 KB2
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Model-Based Reinforcement Learning with Value-Targeted Regression
Model-BasedReinforcementLearningwithValue-TargetedRegressionAlexAyoub1ZeyuJia2CsabaSzepesva´ri13MengdiWang43LinF.Yang5Abstractmains,suchasgames,roboticsandscience,haswitnessedphenomenalempiricalad...
Learning with Reinforcement Regression Model-Based
2023-11-14 21:45:127175.92 MB23
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Meta-learning for Mixed Linear Regression
Meta-learningforMixedLinearRegressionWeihaoKong1RaghavSomani1ZhaoSong2ShamKakade1SewoongOh1Abstractexamples(Wangetal.,2017).Inmodernsupervisedlearning,therearealargeInspiredbyhumaningenuityinquickl...
for Regression Linear Meta-Learning Mixed
2023-11-14 21:45:091920616.88 KB17
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Logistic Regression for Massive Data with Rare Events
LogisticRegressionforMassiveDatawithRareEventsHaiYingWang1Abstractapplications.However,severalimportantquestionsremainunansweredthatareessentialforvaliddataanalysisandThispaperstudiesbinarylogistic...
for with Regression Data Massive
2023-11-14 21:45:041562337.51 KB20
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Boosted Histogram Transform for Regression
BoostedHistogramTransformforRegressionYuchaoCai12HanyuanHang1HanfangYang2ZhouchenLin31AbstractﬁcationbySchapire&Freund(1995);Freund&Schapire(1997).Anotherimportantboostingalgorithmforregres-Inthis...
for Regression Boosted Transform Histogram
2023-11-14 21:43:171079433.07 KB28
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Tight Kernel Query Complexity of Kernel Ridge Regression and Kernel $k$-means Clustering
TightKernelQueryComplexityofKernelRidgeRegressionandKernelk-meansClusteringManuelFerna´ndez1DavidP.Woodruff1TaisukeYasuda2Abstractbetweentwodatapointswiththeirinnerproductafterap-plyingakernelmap,...
of Kernel Complexity Regression Ridge
2023-11-13 14:48:47919329.86 KB23
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On Sparse Linear Regression in the Local Differential Privacy Model
OnSparseLinearRegressionintheLocalDifferentialPrivacyModelDiWang1JinhuiXu1Abstractsciences(Marascuilo&Serlin,1988),genomicsresearch(Bu˘žková,2013)andsignalrecovery(Bühlmann&VanInthispaper,westu...
Sparse on Local Regression the
2023-11-13 14:48:031048962.15 KB22
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Improved Convergence for $ ell_1$ and $ ell_∞$ Regression via Iteratively Reweighted Least Squares
ImprovedConvergencefor`1and`1RegressionviaIterativelyReweightedLeastSquaresAlinaEne1AdrianVladu1Abstractitistoreduceoptimizationproblemstoiterativelysolvingaseriesofweighted`2-minimizationproblems,...
for and ell Convergence Regression
2023-11-13 14:47:29599628.05 KB24
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Fair Regression Quantitative Definitions and Reduction-Based Algorithms
FairRegression:QuantitativeDeﬁnitionsandReduction-basedAlgorithmsAlekhAgarwal1MiroslavDud´ık2ZhiweiStevenWu3Abstracthavebeenproposed(Berketal.,2017;Chouldechova,2017;Hardtetal.,2016;Kleinbergeta...
and Algorithms Regression Reduction-Based Fair
2023-11-13 14:47:07959693.44 KB24
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Distribution calibration for Regression
DistributionCalibrationforRegressionHaoSong1TomDiethe2MeelisKull3PeterFlach14Abstractmaking,suchascost-sensitiveclassiﬁcation[33].However,fromsimplemodels(e.g.Na¨ıveBayes)tocomplexonesWeareconce...
for Regression Distribution Calibration
2023-11-13 14:46:577051.92 MB23
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Dimensionality Reduction for Tukey Regression
DimensionalityReductionforTukeyRegressionKennethL.Clarkson1RuosongWang2DavidP.Woodruff2Abstract2011;Woodruff,2014).Wegivetheﬁrstdimensionalityreductionmeth-Thisapproachhasledtooptimalalgorithmsfor...
for Regression Reduction Dimensionality Tukey
2023-11-13 14:46:531977453.51 KB24
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AReS and MaRS Adversarial and MMD-Minimizing Regression for SDEs
AReSandMaRS-AdversarialandMMD-MinimizingRegressionforSDEsGabrieleAbbati1PhilippeWenk23MichaelAOsborne1AndreasKrause2BernhardScho¨lkopf4StefanBauer4Abstractpaper,weuseexclusivelytheItoˆ-formdx(t)=...
for Adversarial and Regression AReS
2023-11-13 14:46:26920449.07 KB7
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Subspace Embedding and Linear Regression with Orlicz Norm
SubspaceEmbeddingandLinearRegressionwithOrliczNormAlexandrAndoni1ChengyuLin1YingSheng1PeilinZhong1RuiqiZhong1Abstractwherel:Rn→R+isthelossfunction.Whenl(y)=nWeconsiderageneralizationoftheclassicli...
and with Regression Subspace Linear
2023-11-13 12:00:481621476.13 KB18
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Practical Contextual Bandits with Regression Oracles
PracticalContextualBanditswithRegressionOraclesDylanJ.Foster1AlekhAgarwal2MiroslavDud´ık2HaipengLuo3RobertE.Schapire2Abstractagnosticinthesensethattheyareprovablyeffectiveforanygivenpolicyclassan...
with Regression Contextual Bandits Practical
2023-11-13 12:00:2613512.23 MB14
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