Uniform-in-Time Wasserstein Stability Bounds for (Noisy) Stochastic Gradient Descent
–Neural Information Processing Systems
It also illustrates that ergodicity is an important component for obtaining time-uniform bounds - which might not be achieved for convex or non-convex losses unless additional noise is injected to the iterates.
Neural Information Processing Systems
Feb-7-2026, 10:34:12 GMT
- Country:
- Europe > Switzerland
- Basel-City > Basel (0.04)
- North America > United States
- Illinois > Champaign County > Urbana (0.04)
- Europe > Switzerland
- Genre:
- Research Report > New Finding (0.46)
- Technology: