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Variational Inference for Sparse and Undirected Models
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Warped Convolutions Efficient Invariance to Spatial Transformations
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Video Pixel Networks
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When can Multi-Site Datasets be Pooled for Regression Hypothesis Tests, $ ell_2$-consistency and Neuroscience Applications
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Variants of RMSProp and Adagrad with Logarithmic Regret Bounds
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Variational Boosting Iteratively Refining Posterior Approximations
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Variational Dropout Sparsifies Deep Neural Networks
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Variational Policy for Guiding Point Processes
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Unifying Task Specification in Reinforcement Learning
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Unimodal Probability Distributions for Deep Ordinal Classification
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Understanding the Representation and Computation of Multilayer Perceptrons A Case Study in Speech Recognition
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Uniform Convergence Rates for Kernel Density Estimation
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