Statistical Learning
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ThePotts-Isingmodelfordiscretemultivariatedata
Neural Information Processing Systems
Modeling dependencies in multivariate discrete data is a challenging problem, especiallyinhighdimensions.
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Optimizing Solution-Samplers for Combinatorial Problems: The Landscape of Policy-Gradient Methods
Neural Information Processing Systems
Deep Neural Networks and Reinforcement Learning methods have empirically shown great promise in tackling challenging combinatorial problems.
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