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Sketchy: Memory-efficient Adaptive Regularization with Frequent Directions
Adaptive regularization methods that exploit more than the diagonal entr...
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Chromatic Learning for Sparse Datasets
Learning over sparse, high-dimensional data frequently necessitates the ...
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On the Computational Inefficiency of Large Batch Sizes for Stochastic Gradient Descent
Increasing the mini-batch size for stochastic gradient descent offers si...
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Model-Based Value Estimation for Efficient Model-Free Reinforcement Learning
Recent model-free reinforcement learning algorithms have proposed incorp...
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