BoXHED Boosted eXact Hazard Estimator with Dynamic covariates

BoXHED:BoostedeXactHazardEstimatorwithDynamiccovariatesXiaochenWang1ArashPakbin2BobakJ.Mortazavi2HongyuZhao1DonaldK.K.Lee3Abstractdying,butalsowhenthatmighthappen,inordertoprovidetimelycriticalcare...

Improved Dynamic Graph Learning through Fault-Tolerant Sparsification

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EDDI Efficient Dynamic Discovery of High-Value Information with Partial VAE

Dynamic Weights in Multi-Objective Deep Reinforcement Learning

DynamicWeightsinMulti-ObjectiveDeepReinforcementLearningAxelAbels12DiederikM.Roijers3TomLenaerts12AnnNowe´2DenisSteckelmacher2Abstractasalinearscalarizationwithweightsperobjectivethatareknowninadv...

Dynamic Measurement Scheduling for Event Forecasting using Deep RL

DynamicMeasurementSchedulingforEventForecastingUsingDeepRLChun-HaoChang123MingjieMai123AnnaGoldenberg123AbstractandsurgicalICU.Thesefindingspointtowardtheneedforprincipleddata-drivenapproachesforla...

Dynamic Learning with Frequent New Product Launches A Sequential Multinomial Logit Bandit Problem

DynamicLearningwithFrequentNewProductLaunches:ASequentialMultinomialLogitBanditProblemJunyuCao1WeiSun2AbstractmarketDynamicssoastoimprovelonger-termprofitability,yettheymayhavetosacrificeshort-term...

Differentiable Dynamic Normalization for Learning Deep Representation

DifferentiableDynamicNormalizationforLearningDeepRepresentationPingLuo12ZhanglinPeng3WenqiShao23RuimaoZhang23JiaminRen3LingyunWu3AbstractForinstance,BNisusedaftereveryconvolutionallayerofaResNet101...

Neural Dynamic Programming for Musical Self Similarity

NeuralDynamicProgrammingforMusicalSelfSimilarityChristianJ.Walder12DongwooKim23AbstractjiWepresentaneuralsequencemodeldesignedFigure1.AnexcerptfromBach’sBWV1007asapianoroll(hori-specificallyforsym...

Fast Approximate Spectral Clustering for Dynamic Networks

FastApproximateSpectralClusteringforDynamicNetworksLionelMartin1AndreasLoukas1PierreVandergheynst1Abstractandshouldbetakenintoaccountinthealgorithmicde-signandanalysis.Unfortunately,SCispoorlysuite...

Dynamic Regret of Strongly Adaptive Methods

DynamicRegretofStronglyAdaptiveMethodsLijunZhang1TianbaoYang2RongJin3Zhi-HuaZhou1Abstractincurredbythelearnerandthatofthebestfixeddecisioninhindsight,i.e.,Tocopewithchangingenvironments,recentde-ve...

Dynamic Evaluation of Neural Sequence Models

DynamicEvaluationofNeuralSequenceModelsBenKrause1EmmanuelKahembwe1IainMurray1SteveRenals1Abstracthavebeenshowntohaveproblemslearningtoreproducesequenceelements(Marcus,2001;Prickett,2017).IntheWeexp...

Differentiable Dynamic Programming for Structured Prediction and Attention

DifferentiableDynamicProgrammingforStructuredPredictionandAttentionArthurMensch1MathieuBlondel2Abstractproblem(Amos&Kolter,2017;Niculae&Blondel,2017;Djolonga&Krause,2017);otherssolvecertaincombinat...

Know-Evolve Deep Temporal Reasoning for Dynamic Knowledge Graphs

Know-Evolve:DeepTemporalReasoningforDynamicKnowledgeGraphsRakshitTrivedi1HanjunDai1YichenWang1LeSong1AbstractFigure1.Sampletemporalknowledgesubgraphbetweenpersons,organizationsandcountries.Theavail...

Dynamic Word Embeddings

DynamicWordEmbeddingsRobertBamler1StephanMandt1Abstractdingsmodelthedistributionofwordsbasedontheirsur-roundingwordsinatrainingcorpus,andsummarizetheseWepresentaprobabilisticlanguagemodelforstatist...

Deciding How to Decide Dynamic Routing in Artificial Neural Networks

DecidingHowtoDecide:DynamicRoutinginArtificialNeuralNetworksMasonMcGill1PietroPerona1AbstractMilner,1992),andfacesandotherbehaviorally-relevantstimuliellicitresponsesinanatomicallydistinct,special-...

Clustering High Dimensional Dynamic Data Streams

ClusteringHighDimensionalDynamicDataStreamsVladimirBraverman1GereonFrahling2HarryLang1ChristianSohler3LinF.Yang1Abstractthesameclusterissimilaranddataindifferentclustersisdifferent.Centerbasedclust...