Fields- Workshop on Optimization and Matrix Methods in Big Data

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    RandNLA: Randomization in Numerical Linear Algebra

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    Sparse inverse covariance estimation for a million variables

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    Communication-Efficient Distributed Optimization of Self-Concordant Empirical Loss

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    The generalized lasso with non-linear measurements

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    Eigenvector localization, implicit regularization, and algorithmic anti-differentiation for large-scale graphs and matrix data

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  8. Title:
    Statistical and Computational Tradeoffs for Sparse Principal Component Analysis

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    PDW methods for support recovery in nonconvex high-dimensional problems

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  10. Title:
    Coordinate Descent and Challenges therein

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