SlotMachines:DiscoveringWinningCombinationsofRandomWeightsinNeuralNetworksMaxwellMbabillaAladago1LorenzoTorresani1AbstractLearningtypicallyinvolveseitheroptimizinganetworkfromscratch(Krizhevskyetal...
It’sNotWhatMachinesCanLearn,It’sWhatWeCannotTeachGalYehuda1MosheGabel2AssafSchuster1AbstractdatasetgenerationprocesscomplexityofresultingtaskCandeepneuralnetworkslearntosolveanytask,harderandinpa...
GrowingAdaptiveMulti-HyperplaneMachinesNemanjaDjuric1ZhuangWang2SlobodanVucetic3AbstracttomakeSVMmorescalable,eitherbyproposingalgo-rithmicspeed-ups(Platt,1998;Kivinenetal.,2002;Vish-AdaptiveMulti-...
RaFM:Rank-AwareFactorizationMachinesXiaoshuangChen1YinZheng2JiaxingWang3WenyeMa2JunzhouHuang2Abstract#Feature5×104FatorizationMachines(FM)areapopularmodel#Feature4classtolearnpairwiseinteractionsb...
AutoregressiveEnergyMachinesCharlieNash1ConorDurkan1Abstractcuratedensityestimationratherthansampling,andthesemodelshaveseenuseassurrogatelikelihoods(Papamakar-Neuraldensityestimatorsareflexiblefam...
TrainingNeuralMachineswithTrace-BasedSupervisionMatthewB.Mirman1DimitarDimitrov1PavleDjordjevic1TimonGehr1MartinVechev1Abstractadditionalamountsofsupervisionprovidedtotheseinter-pretablecomponentsd...
ScalingUpSparseSupportVectorMachinesbySimultaneousFeatureandSampleReductionWeizhongZhang12BinHong13WeiLiu2JiepingYe3DengCai1XiaofeiHe1JieWang3Abstracttionandvariableselectionby1-normpenalty.Thelast...
KernelizedSupportTensorMachinesLifangHe1Chun-TaLu1GuixiangMa1ShenWang1LinlinShen2PhilipS.Yu13AnnB.Ragin4Abstractthislearningframework,severaltensor-basedlinearmod-els(Zhouetal.,2013;Haoetal.,2013)h...