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End-to-End Learning for Structured Prediction Energy Networks
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Estimating individual treatment effect generalization bounds and algorithms
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Efficient Online Bandit Multiclass Learning with $ tildeO( sqrtT)$ Regret
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Efficient Regret Minimization in Non-Convex Games
EfﬁcientRegretMinimizationinNon-ConvexGamesEladHazan1KaranSingh1CyrilZhang1AbstractInthispaperweinvestigatethegeneralizationofthenon-convexstatistical,orbatch,learningmodeltoonlinelearn-Weconsider...
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End-to-End Differentiable Adversarial Imitation Learning
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Efficient softmax approximation for GPUs
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Emulating the Expert Inverse Optimization through Online Learning
EmulatingtheExpert:InverseOptimizationthroughOnlineLearningAndreasBärmann1SebastianPokutta2OskarSchneider1Abstractmakingrecommendationsbasedonuserhistoryandstrate-gicplanningproblems,wheretheagent...
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Dynamic Word Embeddings
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Efficient Distributed Learning with Sparsity
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Efficient Orthogonal Parametrisation of Recurrent Neural Networks Using Householder Reflections
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Dual Iterative Hard Thresholding From Non-convex Sparse Minimization to Non-smooth Concave Maximization
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Dual Supervised Learning
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Dueling Bandits with Weak Regret
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Efficient Nonmyopic Active Search
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Distributed Batch Gaussian Process Optimization
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Doubly Greedy Primal-Dual Coordinate Descent for Sparse Empirical Risk Minimization
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Doubly Accelerated Methods for Faster CCA and Generalized Eigendecomposition
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Dropout Inference in Bayesian Neural Networks with Alpha-divergences
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Discovering Discrete Latent Topics with Neural Variational Inference
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Dissipativity Theory for Nesterov’s Accelerated Method
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