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.
Neural Information Processing Systems
Aug-15-2025, 20:52:20 GMT