Stability and Convergence Trade-off of Iterative Optimization Algorithms

4 Apr 2018 Yuansi Chen Chi Jin Bin Yu

The overall performance or expected excess risk of an iterative machine learning algorithm can be decomposed into training error and generalization error. While the former is controlled by its convergence analysis, the latter can be tightly handled by algorithmic stability... (read more)

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