DET-CGD: COMPRESSED GRADIENT DESCENT WITH MATRIX STEPSIZES FOR NON-CONVEX OPTIMIZATION

Hanmin Li, Avetik Karagulyan, Peter Richtárik

Research output: Contribution to conferencePaperpeer-review

Fingerprint

Dive into the research topics of 'DET-CGD: COMPRESSED GRADIENT DESCENT WITH MATRIX STEPSIZES FOR NON-CONVEX OPTIMIZATION'. Together they form a unique fingerprint.

Mathematics

Keyphrases