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Statistical Inference for Incomplete Ranking Data The Case of Rank-Dependent Coarsening
StatisticalInferenceforIncompleteRankingData:TheCaseofRank-DependentCoarseningMohsenAhmadiFahandar1EykeHu¨llermeier1Ine´sCouso2Abstract“items”),whereasnopreferencesarerevealedaboutthere-maining...
for Inference the Statistical Data
2023-11-12 20:45:181132263.47 KB28
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Sparse + Group-Sparse Dirty Models Statistical Guarantees without Unreasonable Conditions and a Case for Non-Convexity
Sparse+Group-SparseDirtyModels:StatisticalGuaranteeswithoutUnreasonableConditionsandaCaseforNon-ConvexityEunhoYang12Aure´lieC.Lozano3Abstracting(Baraniuk,2007)andLasso(Tibshirani,1996)),low-rankst...
Sparse Models Guarantees Statistical without
2023-11-12 20:45:161872614.64 KB2
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Sketched Ridge Regression Optimization Perspective, Statistical Perspective, and Model Averaging
SketchedRidgeRegression:OptimizationPerspective,StatisticalPerspective,andModelAveragingShusenWang1AlexGittens2MichaelW.Mahoney1AbstractlemwhilegreatlymitigatingtheStatisticalrisksincurredbysketchi...
Optimization and Regression Statistical Ridge
2023-11-12 20:45:151102584.01 KB4
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Automatic Discovery of the Statistical Types of Variables in a Dataset
AutomaticDiscoveryoftheStatisticalTypesofVariablesinaDatasetIsabelValera1ZoubinGhahramani12Abstractplore,ﬁndpatternsormakepredictionsonthedata.Asanexample,apredictiontaskissolveddifferentlydependi...
of Automatic Discovery the Statistical
2023-11-12 20:43:541780917.4 KB11
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Statistical Inference for Incomplete Ranking Data The Case of Rank-Dependent Coarsening

Sparse + Group-Sparse Dirty Models Statistical Guarantees without Unreasonable Conditions and a Case for Non-Convexity

Sketched Ridge Regression Optimization Perspective, Statistical Perspective, and Model Averaging

Automatic Discovery of the Statistical Types of Variables in a Dataset