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Convexified Convolutional Neural Networks
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Convolutional Sequence to Sequence Learning
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Coordinated Multi-Agent Imitation Learning
CoordinatedMulti-AgentImitationLearningHoangM.Le1YisongYue1PeterCarr2PatrickLucey3AbstractFigure1.Ourmotivatingexampleoflearningcoordinatingbe-haviorpoliciesforteamsportsfromtrackingdata.RedistheWe...
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Coresets for Vector Summarization with Applications to Network Graphs
CoresetsforVectorSummarizationwithApplicationstoNetworkGraphsDanFeldman1SedatOzer2DanielaRus2Abstractgroups,gatheringplaces,collectiveactivitypatterns,etc.Thereareseveralkeychallengestoachievethese...
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Constrained Policy Optimization
ConstrainedPolicyOptimizationJoshuaAchiam1DavidHeld1AvivTamar1PieterAbbeel12AbstractInreinforcementlearning(RL),agentslearntoactbytrialanderror,graduallyimprovingtheirperformanceattheFormanyapplica...
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Contextual Decision Processes with low Bellman rank are PAC-Learnable
ContextualDecisionProcesseswithlowBellmanrankarePAC-LearnableNanJiang1AkshayKrishnamurthy2AlekhAgarwal3JohnLangford3RobertE.Schapire3AbstracteralizeMDPswherethestateformsthecontext(Ex.1)andPOMDPswh...
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Convergence Analysis of Proximal Gradient with Momentum for Nonconvex Optimization
ConvergenceAnalysisofProximalGradientwithMomentumforNonconvexOptimizationQunweiLi1YiZhou1YingbinLiang1PramodK.Varshney1AbstractAlgorithm1APGInthiswork,weinvestigatetheacceleratedprox-Input:y1=x1=x0...
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Continual Learning Through Synaptic Intelligence
ContinualLearningThroughSynapticIntelligenceFriedemannZenke1BenPoole1SuryaGanguli1Abstractalifetime.Itisthereforedifﬁculttodrawaclearlinebe-tweenalearningandrecallphase.Somehow,ourbrainsWhiledeepl...
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Consistency Analysis for Binary Classification Revisited
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Consistent k-Clustering
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Consistent On-Line Off-Policy Evaluation
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Conditional Accelerated Lazy Stochastic Gradient Descent
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Conditional Image Synthesis with Auxiliary Classifier GANs
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Confident Multiple Choice Learning
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Connected Subgraph Detection with Mirror Descent on SDPs
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Composing Tree Graphical Models with Persistent Homology Features for Clustering Mixed-Type Data
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Communication-efficient Algorithms for Distributed Stochastic Principal Component Analysis
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Compressed Sensing using Generative Models
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Collect at Once, Use Effectively Making Non-interactive Locally Private Learning Possible
CollectatOnce,UseEffectively:MakingNon-interactiveLocallyPrivateLearningPossibleKaiZheng1WenlongMou1LiweiWang1Abstractetal.,2016),machinelearning(Chaudhuri&Monteleoni,2008;Chaudhurietal.,2011;Rubin...
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Combined Group and Exclusive Sparsity for Deep Neural Networks
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