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stat.ML2021
Data splitting improves statistical performance in overparametrized regimes
Nicole Mücke, Enrico Reiss, Jonas Rungenhagen +1
While large training datasets generally offer improvement in model performance, the training process becomes computationally expensive and time consuming. Distributed learning is a…
stat.ML2020★ 2 cited
Stochastic Gradient Descent in Hilbert Scales: Smoothness, Preconditioning and Earlier Stopping
Nicole Mücke, Enrico Reiss
Stochastic Gradient Descent (SGD) has become the method of choice for solving a broad range of machine learning problems. However, some of its learning properties are still not ful…