GP-Tree:AGaussianProcessClassifierforFew-ShotIncrementalLearningIdanAchituve1AvivNavon1YochaiYemini1GalChechik12EthanFetaya1Abstractoftrainingexamples.Thiscanlimitexactinferenceonlargedatasets,espe...
ExactOptimizationofConformalPredictorsviaIncrementalandDecrementalLearningGiovanniCherubin1KonstantinosChatzikokolakis2MartinJaggi3Abstractclustering(Cherubinetal.,2015).Furthermore,theycanbeusedto...
IncrementalSamplingWithoutReplacementforSequenceModelsKensenShi1DavidBieber1CharlesSutton1Abstractwithoutreplacementcouldbeevenmoredesirablebyavoid-ingduplicatesamples,especiallyinmachinelearningwh...
IncrementalRandomizedSketchingforOnlineKernelLearningXiaoZhang1ShizhongLiao1Abstractupdatingtimesignificantly(Wangetal.,2012).Tosolvetheproblem,budgetedonlinekernellearninghasbeenproposedRandomized...
FastIncrementalvonNeumannGraphEntropyComputation:Theory,Algorithm,andApplicationsPin-YuChen1LingfeiWu1SijiaLiu1IndikaRajapakse2Abstractfeaturesembeddedingraphs.Inparticular,evaluatingsim-ilaritybet...
ACompositeRandomizedIncrementalGradientMethodJunyuZhang1LinXiao2Abstractwhereeachfj:Rp→Rissmoothandcanbenonconvex.SuchproblemsoftenariseasfinitesampleapproximationsWeconsidertheproblemofminimizing...
ClusteringbySumofNorms:StochasticIncrementalAlgorithm,ConvergenceandClusterRecoveryAshkanPanahi1DevdattDubhashi2FredrikD.Johansson3ChiranjibBhattacharyya4Abstractrequiresrandomlyinitializingtheclus...