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    Chapter and Conference Paper

    Changepoint Inference for Erdős–Rényi Random Graphs

    We formulate a model for the off-line estimation of a changepoint in a network setting. The framework naturally allows the parameter space (network size) to grow with the number of observations. We compute the...

    Elena Yudovina, Moulinath Banerjee… in Stochastic Models, Statistics and Their Ap… (2015)

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    Chapter and Conference Paper

    Directed Acyclic Graph Reconstruction Leveraging Prior Partial Ordering Information

    Reconstructing directed acyclic graphs (DAGs) from observed data constitutes an important machine learning task. It has important applications in systems biology and functional genomics. However, it is a chall...

    Pei-Li Wang, George Michailidis in Machine Learning, Optimization, and Data Science (2019)

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    Chapter and Conference Paper

    Analyses of Multi-collection Corpora via Compound Topic Modeling

    Popular probabilistic topic models have typically centered on one single text collection, which is deficient for comparative text analyses. We consider a setting where we have partitionable corpora. Each subco...

    Clint P. George, Wei **a, George Michailidis in Machine Learning, Optimization, and Data S… (2019)