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Showing 1 to 1 of 1 for “"Accelerated first-order methods"”.

  1. Accelerated first-order optimization methods using inertia and error bounds

    … machine learning applications. The focus is on first-order methods which have low per-iteration complexity and can exploit problem structure to a high degree. First-order methods have the capacity to address large-scale problems for which all alternative methods fail. However, first-order

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