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High Dimensional Bayesian Optimization with Elastic Gaussian Process
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High-dimensional Non-Gaussian Single Index Models via Thresholded Score Function Estimation
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High-Dimensional Variance-Reduced Stochastic Gradient Expectation-Maximization Algorithm
High-DimensionalVariance-ReducedStochasticGradientExpectation-MaximizationAlgorithmRongdaZhu1LingxiaoWang2ChengxiangZhai3QuanquanGu2Abstractstudies(Balakrishnanetal.,2014;Wangetal.,2014;Yi&Caramani...
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Gram-CTC Automatic Unit Selection and Target Decomposition for Sequence Labelling
Gram-CTC:AutomaticUnitSelectionandTargetDecompositionforSequenceLabellingHairongLiu1ZhenyaoZhu1XiangangLi1SanjeevSatheesh1Abstract2016),machinetranslation(Sébastienetal.,2015),andparsing(Vinyalset...
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Guarantees for Greedy Maximization of Non-submodular Functions with Applications
GuaranteesforGreedyMaximizationofNon-submodularFunctionswithApplicationsAndrewAnBian1JoachimM.Buhmann1AndreasKrause1SebastianTschiatschek1AbstractwhereV={v1,...,vn}isthegroundset.Speciﬁcally,inexp...
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Hierarchy Through Composition with Multitask LMDPs
HierarchyThroughCompositionwithMultitaskLMDPsAndrewM.Saxe1AdamC.Earle2BenjaminRosman23Abstractactionsforeachjointindividually(Mausam&Weld,2008).Finally,the‘tasks’performedbyanagentmaycomeinHierar...
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GSOS Gauss-Seidel Operator Splitting Algorithm for Multi-Term Nonsmooth Convex Composite Optimization
GSOS:Gauss-SeidelOperatorSplittingAlgorithmforMulti-TermNonsmoothConvexCompositeOptimizationLiShen1WeiLiu1GanzhaoYuan2ShiqianMa3Abstractdifferentiableconvexfunctionwithitsgradientsatisfyingtheinequ...
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Gradient Projection Iterative Sketch for Large-Scale Constrained Least-Squares
GradientProjectionIterativeSketchforLarge-ScaleConstrainedLeast-SquaresJunqiTang1MohammadGolbabaee1MikeE.Davies1Abstractgorithms,theﬁrststreamisthestochasticgradientde-scent(SGD)anditsvariance-red...
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Gradient Coding Avoiding Stragglers in Distributed Learning
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Grammar Variational Autoencoder
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Graph-based Isometry Invariant Representation Learning
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Globally Induced Forest A Prepruning Compression Scheme
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Globally Optimal Gradient Descent for a ConvNet with Gaussian Inputs
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Global optimization of Lipschitz functions
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Gradient Boosted Decision Trees for High Dimensional Sparse Output
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From Patches to Images A Nonparametric Generative Model
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Geometry of Neural Network Loss Surfaces via Random Matrix Theory
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Generalization and Equilibrium in Generative Adversarial Nets (GANs)
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Forest-type Regression with General Losses and Robust Forest
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Forward and Reverse Gradient-Based Hyperparameter Optimization
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