Article-Journal

Next Waves in Veridical Network Embedding
Embedding nodes of a large network into a metric (e.g., Euclidean) space has become an area of active research in statistical machine …
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Diagnostics and Visualization of Point Process Models for Event Times on a Social Network
Point process models have been used to analyze interaction event times on a social network, in the hope to provides valuable insights …
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Stabilized Sparse Online Learning for Sparse Data
Stochastic gradient descent (SGD) is commonly used for optimization in large-scale machine learning problems. Langford et al. (2009) …
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Discovering influential variables: A method of partitions
A trend in all scientific disciplines, based on advances in technology, is the increasing availability of high dimensional data in …
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