PrincipledSimplicialNeuralNetworksforTrajectoryPredictionT.MitchellRoddenberry1NicholasGlaze1SantiagoSegarra1Abstractintheirabilitytoincorporatearbitrarypairwiserelationalstructuresintheircomputati...
PrincipledExplorationviaOptimisticBootstrappingandBackwardInductionChenjiaBai1LingxiaoWang2LeiHan3JianyeHao4AnimeshGarg5PengLiu1ZhaoranWang2Abstract2007;Jinetal.,2018)isaPrincipledapproachforeffici...
GraphNorm:APrincipledApproachtoAcceleratingGraphNeuralNetworkTrainingTianleCai12ShengjieLuo345KeyuluXu6DiHe7Tie-YanLiu7LiweiWang34Abstract2017).Empirically,GNNshavesucceededinavarietyoftaskssuchasc...
PrincipledLearningMethodforWassersteinDistributionallyRobustOptimizationwithLocalPerturbationsYongchanKwon1WonyoungKim2Joong-HoWon2MyungheeChoPaik2Abstractsothecomputationoftheriskin(1)isimpossible...
TheoreticallyPrincipledTrade-offbetweenRobustnessandAccuracyHongyangZhang12YaodongYu3JiantaoJiao4EricP.Xing15LaurentElGhaoui4MichaelI.Jordan4Abstractblocksforarangeofsecurity-criticalsystemsandappl...
OrthogonalizedALS:ATheoreticallyPrincipledTensorDecompositionAlgorithmforPracticalUseVatsalSharan1GregoryValiant1Abstracttheirpracticalutilitywillonlyincrease,withtheriseofmulti-modalmeasurements(e...