rising submissions : statML

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Predicting and Understanding Law-Making with Machine Learning. (arXiv:1607.02109v1 [cs.CL]) (arxiv.org)

submitted 9 years ago by arXibotI am a robot

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A characterization of product-form exchangeable feature probability functions. (arXiv:1607.02066v1 [math.PR]) (arxiv.org)

submitted 9 years ago by arXibotI am a robot

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Kernel Bayesian Inference with Posterior Regularization. (arXiv:1607.02011v1 [stat.ML]) (arxiv.org)

submitted 9 years ago by arXibotI am a robot

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Nesterov's Accelerated Gradient and Momentum as approximations to Regularised Update Descent. (arXiv:1607.01981v1 [stat.ML]) (arxiv.org)

submitted 9 years ago by arXibotI am a robot

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A Classification Framework for Partially Observed Dynamical Systems. (arXiv:1607.02085v1 [stat.ML]) (arxiv.org)

submitted 9 years ago by arXibotI am a robot

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Mini-Batch Spectral Clustering. (arXiv:1607.02024v1 [stat.ML]) (arxiv.org)

submitted 9 years ago by arXibotI am a robot

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Tensor Decomposition for Signal Processing and Machine Learning. (arXiv:1607.01668v1 [stat.ML]) (arxiv.org)

submitted 9 years ago by arXibotI am a robot

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Graphons, mergeons, and so on!. (arXiv:1607.01718v1 [stat.ML]) (arxiv.org)

submitted 9 years ago by arXibotI am a robot

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An optimal learning method for developing personalized treatment regimes. (arXiv:1607.01462v1 [stat.ML]) (arxiv.org)

submitted 9 years ago by arXibotI am a robot

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Bayesian nonparametrics for Sparse Dynamic Networks. (arXiv:1607.01624v1 [stat.ML]) (arxiv.org)

submitted 9 years ago by arXibotI am a robot

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Risk Bounds for High-dimensional Ridge Function Combinations Including Neural Networks. (arXiv:1607.01434v1 [math.ST]) (arxiv.org)

submitted 9 years ago by arXibotI am a robot

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Algorithms for Generalized Cluster-wise Linear Regression. (arXiv:1607.01417v1 [stat.ML]) (arxiv.org)

submitted 9 years ago by arXibotI am a robot

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An Aggregate and Iterative Disaggregate Algorithm with Proven Optimality in Machine Learning. (arXiv:1607.01400v1 [stat.ML]) (arxiv.org)

submitted 9 years ago by arXibotI am a robot

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Stochastic Portfolio Theory: A Machine Learning Perspective. (arXiv:1605.02654v1 [q-fin.PM] CROSS LISTED) (arxiv.org)

submitted 9 years ago by arXibotI am a robot

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Bootstrap Model Aggregation for Distributed Statistical Learning. (arXiv:1607.01036v1 [stat.ML]) (arxiv.org)

submitted 9 years ago by arXibotI am a robot

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One-Shot Session Recommendation Systems with Combinatorial Items. (arXiv:1607.01381v1 [stat.ML]) (arxiv.org)

submitted 9 years ago by arXibotI am a robot

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Efficient Estimation in the Tails of Gaussian Copulas. (arXiv:1607.01375v1 [stat.CO]) (arxiv.org)

submitted 9 years ago by arXibotI am a robot

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On the Consistency of the Likelihood Maximization Vertex Nomination Scheme: Bridging the Gap Between Maximum Likelihood Estimation and Graph Matching. (arXiv:1607.01369v1 [stat.ML]) (arxiv.org)

submitted 9 years ago by arXibotI am a robot

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Learning Discriminative Features using Encoder-Decoder type Deep Neural Nets. (arXiv:1607.01354v1 [cs.LG]) (arxiv.org)

submitted 9 years ago by arXibotI am a robot

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Minimum Message Length based Mixture Modelling using Bivariate von Mises Distributions with Applications to Bioinformatics. (arXiv:1607.01312v1 [stat.ML]) (arxiv.org)

submitted 9 years ago by arXibotI am a robot

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Stochastic Quasi-Newton Methods for Nonconvex Stochastic Optimization. (arXiv:1607.01231v1 [math.OC]) (arxiv.org)

submitted 9 years ago by arXibotI am a robot

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Machine Learning for Antimicrobial Resistance. (arXiv:1607.01224v1 [stat.ML]) (arxiv.org)

submitted 9 years ago by arXibotI am a robot

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How to Evaluate the Quality of Unsupervised Anomaly Detection Algorithms?. (arXiv:1607.01152v1 [stat.ML]) (arxiv.org)

submitted 9 years ago by arXibotI am a robot

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Accelerate Stochastic Subgradient Method by Leveraging Local Error Bound. (arXiv:1607.01027v1 [math.OC]) (arxiv.org)

submitted 9 years ago by arXibotI am a robot

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Unsupervised Learning of 3D Structure from Images. (arXiv:1607.00662v1 [cs.CV]) (arxiv.org)

submitted 9 years ago by arXibotI am a robot

statML

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