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Showing 1 to 2 of 2 for “"edge of stability"”.

  1. Perspectives on Geometry and Optimization: from Measures to Neural Networks

    This thesis explores geometrical aspects of matrix completion, interior point methods, unbalanced optimal transport, and neural network training. We use these examples to illustrate four ways in which geometry plays key yet fundamentally different roles in optimization. The first part explores the …

    mit Repository record for Perspectives on Geometry and Optimization: from Measures to Neural Networks (opens in a new tab)

  2. Quantitative convergence analysis of dynamical processes in machine learning

    … on analyzing the quantitative convergence of selected important machine learning processes, from a dynamical perspective, in order to understand and guide machine learning practices. Machine learning is becoming increasingly popular in various fields. Typical machine learning models consist …

    gatech Repository record for Quantitative convergence analysis of dynamical processes in machine learning (opens in a new tab)