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stat.ML2023
How to Scale Your EMA
Dan Busbridge, Jason Ramapuram, Pierre Ablin +4
Preserving training dynamics across batch sizes is an important tool for practical machine learning as it enables the trade-off between batch size and wall-clock time. This trade-o…
stat.ML2017★ 7 cited
InfiniteBoost: building infinite ensembles with gradient descent
Alex Rogozhnikov, Tatiana Likhomanenko
In machine learning ensemble methods have demonstrated high accuracy for the variety of problems in different areas. Two notable ensemble methods widely used in practice are gradie…