# Other Uniform Bound

In theoretical machine learning, VC-dimension (VCD) and Rademacher average (RA) are two frequently used uniform bounds, providing better sample complexity than bounds such as Chernoff bound and Hoeffding bound.

Are there other uniform bounds other than VCD and RA that are tighter?