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Apr 18, 2023 · Our framework converts the leave-one-out error of permutation invariant predictors into high probability risk bounds.
Apr 18, 2023 · For realizable bounded regression with absolute loss, we derive an optimal risk bound that relies on a modified version of the scale-sensitive ...
In this paper, we address this issue by providing optimal high probability risk bounds through a framework that surpasses the limitations of uniform convergence ...
Apr 18, 2023 · In this paper, we address this issue by providing optimal high probability risk bounds through a framework that surpasses the limitations of ...
We consider a one-dimensional lattice system of unbounded, real-valued spins. We allow arbitrary strong, attractive, nearest-neighbor interaction. We show that ...
Jun 12, 2023 · This event has passed. Nikita Zhivotovskiy (UC Berkeley) – “Optimal PAC Bounds without Uniform Convergence”. June 12, 2023 @ 2:00 pm ...
Nov 26, 2023 · Speaker: Yeshwanth Cherapanamjeri , MIT ; Date: Monday, November 27, 2023 ; Time: 4:00 PM to 5:00 PM Note: all times are in the Eastern Time Zone.
In this paper, we address this issue by providing optimal high probability risk bounds through a framework that surpasses the limitations of uniform convergence ...
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Apr 19, 2023 · Optimal PAC Bounds Without Uniform Convergence https://ift.tt/Or6tzey · 2:25 AM · Apr 19, 2023. ·. 6,730. Views.