STORM+

STORM+

Faster PyTorch optimizer

STORM+ is a fully adaptive stochastic gradient descent optimizer with momentum for nonconvex optimization, extending the STORM algorithm. It achieves optimal convergence rates without requiring knowledge of problem-specific parameters such as the Lipschitz constant or noise level, at the cost of two gradient evaluations per iteration.

PyTorch
Maturity
PrototypeIntermediateMature
Support
C4DT
Inactive
Lab
Unknown

Laboratory for Information and Inference Systems

Laboratory for Information and Inference Systems
Volkan Cevher

Prof. Volkan Cevher

At LIONS, we are concerned with optimized information extraction from signals or data volumes. We therefore develop mathematical theory and computational methods for information recovery from highly incomplete data.

This page was last edited on 2022-08-11.