Primal-Dual Rates and Certificates

16 Feb 2016Celestine DünnerSimone ForteMartin TakáčMartin Jaggi

We propose an algorithm-independent framework to equip existing optimization methods with primal-dual certificates. Such certificates and corresponding rate of convergence guarantees are important for practitioners to diagnose progress, in particular in machine learning applications... (read more)

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