Reproducibility in Optimization: Theoretical Framework and Limits

Neural Information Processing Systems 

We initiate a formal study of reproducibility in optimization. We define a quantitative measure of reproducibility of optimization procedures in the face of noisy or error-prone operations such as inexact or stochastic gradient computations or inexact initialization.

Similar Docs  Excel Report  more

TitleSimilaritySource
None found