Next-token functional estimation
A leave-a-window-out estimator is proposed, which deletes a window of length $\tau$ after each index before forming the empirical measure and reduces to leave-one-out at $\tau = 1$.
AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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A leave-a-window-out estimator is proposed, which deletes a window of length $\tau$ after each index before forming the empirical measure and reduces to leave-one-out at $\tau = 1$.
An overview of the theory of overparameterized ML is provided by focusing on explaining the most foundational findings through a statistical signal processing perspective and emphasizing the unique aspects that define the TOPML research area as a subfield of modern ML theory and outline interesting open frontiers that...
The spectral method uses a decoupling argument recently introduced by Kaushik, Romberg, and Muthukumar to control nonlinear error terms to control nonlinear error terms.
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