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Priya Kasimbeg

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#machine learning Preprint Oct 2026

Towards Easier-to-Tune Training Algorithms: New Results from AlgoPerf

Evaluating deep learning optimizer is challenging because confounding factors such as hyperparameter tuning and optimizer-model co-design often obscure true algorithmic performance. We present results of the updated AlgoPerf V1 benchmark, in which we evaluate a new set of training algorithms on wall-clock time-to-targe...

Priya Kasimbeg, Ahmed Khaled, Aahlad Chandrabhatta et al. · 0 citations