kernelPSI:aPost-SelectionInferenceFrameworkforNonlinearVariableSelectionLotfiSlim12Cle´mentChatelain1Chloe´-AgatheAzencott23Jean-PhilippeVert24Abstractthevariablestestedafterselectionarelikelytoe...
InferenceandSamplingofK33-freeIsingModelsValeriiLikhosherstov1YuryMaximov12MichaelChertkov123Abstractoneofthemostsignificantcontributionsintheoreticalandmathematicalphysicsofthe20thcentury.Then,Kac...
Graphical-modelbasedestimationandInferencefordifferentialprivacyRyanMcKenna1DanielSheldon12GeromeMiklau1AbstractInferenceisacriticalcomponentofprivacymechanismsbecause:(i)itcanreduceerrorwhenanswer...
FastandFlexibleInferenceofJointDistributionsfromtheirMarginalsCharlieFrogner1TomasoPoggio2Abstractjointobservationsandinsteadmustrelyonobservationsofthevariablestakenseparately.Politicalscientists,...
FastandSimpleNatural-GradientVariationalInferencewithMixtureofExponential-familyApproximationsWuLin1MohammadEmtiyazKhan2MarkSchmidt1AbstractMinimalMixtureofEFExamplesofMCEFsConditionallyCurvedEFFin...
End-to-EndProbabilisticInferenceforNonstationaryAudioAnalysisWilliamJ.Wilkinson12MichaelRiisAndersen23JoshuaD.Reiss1DanStowell1ArnoSolin2AbstractGPGPspectrogram=NMFweights(W)×positivemodulatorGPs(...
EfficientAmortisedBayesianInferenceforHierarchicalandNonlinearDynamicalSystemsGeoffreyRoeder12PaulKGrant1AndrewPhillips1NeilDalchau1EdwardMeeds1Abstractmodels(Archeretal.,2015;Karletal.,2016),(non)...
DirichletSimplexNestandGeometricInferenceMikhailYurochkin12AritraGuha3YuekaiSun3XuanLongNguyen3Abstractetal.,2000)wereoriginallydesignedforcategoricaldata.However,therearemanyrealworldapplicationsi...
DeepGaussianProcesseswithImportance-WeightedVariationalInferenceHughSalimbeni12VincentDutordoir2JamesHensman2MarcPeterDeisenroth12AbstractFigure1:Posteriordensityfromatwo-layermodel,illus-tratingno...
Communication-ConstrainedInferenceandtheRoleofSharedRandomnessJayadevAcharya1ClémentCanonne2HimanshuTyagi3AbstractQuestion1.1.WhatistheminimumnumberofplayersnrequiredbyanSMPprotocolthatsuccessfull...
CalibratedApproximateBayesianInferenceHanwenXing1GeoffK.Nicholls1JeongEunLee2AbstractMonteCarlosample.Therearealso“fixed”approxima-tionswithnoprecisionparameters,inwhichalikelihoodWegiveacomputat...
Band-limitedTrainingandInferenceforConvolutionalNeuralNetworksAdamDziedzic1JohnPaparrizos1SanjayKrishnan1AaronElmore1MichaelFranklin1Abstractponentsofitsconvolutionallayers?Weshowthattheanswertothe...
AutomaticPosteriorTransformationforLikelihood-freeInferenceDavidS.Greenberg1MarcelNonnenmacher1JakobH.Macke1AbstractForcomplexdata-generatingprocessessuchassimulation-basedmodels,itisoftenimpossibl...
AnInstabilityinVariationalInferenceforTopicModelsBehroozGhorbani1HamidJavadi2AndreaMontanari13AbstractNotethatwabelongstothesimplexP1(k)={w∈Rk≥0:w,1k=1}.ItiscommontoassumethatitspriorisNaivemean...
AContrastiveDivergenceforCombiningVariationalInferenceandMCMCFranciscoJ.R.Ruiz12MichalisK.Titsias3AbstractWedevelopamethodforcombiningVIandMCMCthatimprovesanexplicitvariationaldistribution(i.e.,wit...
SparseMAP:DifferentiableSparseStructuredInferenceVladNiculae1AndréF.T.Martins2MathieuBlondel3ClaireCardie1Abstract⋆StructuredpredictionrequiressearchingoveraargmaxMarginalMAPcombinatorialnumberof...
Semi-ImplicitVariationalInferenceMingzhangYin1MingyuanZhou2Abstractmean-fieldassumptionthatQisfactorizedoverthelatentvariables.TheoptimizationproblemisfurthersimplifiedifSemi-implicitvariationalinf...
ScalableApproximateBayesianInferenceforParticleTrackingDataRuoxiSun1LiamPaninski2Abstractapplicationsinbothfundamentalandappliedbiology,andmoregenerallyinchemistryandphysicalapplications.Manyimport...
Quasi-MonteCarloVariationalInferenceAlexanderBuchholz1FlorianWenzel2StephanMandt3Abstractceduresrelyonthegradientoftheobjective,amcgradientestimatorhastobebuiltbysamplingfromthisdistribution.Manyma...
NoisyNaturalGradientasVariationalInferenceGuodongZhang12ShengyangSun12DavidDuvenaud12RogerGrosse12Abstract&Welling,2017),butfittingsuchmodelscanbeexpensivewithoutfurtherapproximations.VariationalBa...