An Improved Uniform Convergence Bound with Fat-Shattering Dimension

Colomboni, Roberto, Esposito, Emmanuel, Paudice, Andrea

arXiv.org Artificial Intelligence 

The fat-shattering dimension characterizes the uniform convergence property of real-valued functions. The state-of-the-art upper bounds feature a multiplicative squared logarithmic factor on the sample complexity, leaving an open gap with the existing lower bound. We provide an improved uniform convergence bound that closes this gap.

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