ApproximatingaDistributionUsingWeightQueriesNadavBarak1SivanSabato1Abstractinterest.However,inmanycases,obtainingsucharan-domsampleisdifficultorimpossible.Inthiswork,weWeconsideranovelchallenge:app...
ApproximatingStackedandBidirectionalRecurrentArchitectureswiththeDelayedRecurrentNeuralNetworkJavierS.Turek1ShaileeJain2VyA.Vo1MihaiCapota˘1AlexanderG.Huth23TheodoreL.Willke1Abstractelement.Howeve...
OntheComplexityofApproximatingWassersteinBarycentersAlexeyKroshnin123DarinaDvinskikh41PavelDvurechensky41AlexanderGasnikov512NazariiTupitsa15Ce´sarA.Uribe6Abstractlearningandoptimizationcommunitie...
ApproximatingOrthogonalMatriceswithEffectiveGivensFactorizationThomasFrerix1JoanBruna2AbstracttionsofunitarymatricesintheformofGivensfactorization(Givens,1958).Givensrotationsarelocalizedinatwo-Wea...
SpectrallyApproximatingLargeGraphswithSmallerGraphsAndreasLoukas1PierreVandergheynst1Abstractetal.,2014;Defferrardetal.,2016;Bronsteinetal.,2017;Simonovsky&Komodakis,2017).CombiningthevaluesHowdoes...
Depth-WidthTradeoffsinApproximatingNaturalFunctionswithNeuralNetworksItaySafran1OhadShamir1Abstractcentempiricalevidencesuggeststhatstandardfeedforwarddeepnetworksarehardertooptimizethanshallowerne...