Generalization Through The Lens Of Leave-One-Out Error

7 March 2022

Papers citing "Generalization Through The Lens Of Leave-One-Out Error"

9 / 9 papers shown

Title
Causal Estimation of Memorisation Profiles Pietro Lesci Clara Meister Thomas Hofmann Andreas Vlachos Tiago Pimentel 43 5 0 06 Jun 2024
The Memory Perturbation Equation: Understanding Model's Sensitivity to Data Peter Nickl Lu Xu Dharmesh Tailor Thomas Möllenhoff Mohammad Emtiyaz Khan 19 10 0 30 Oct 2023
TRAK: Attributing Model Behavior at Scale Sung Min Park Kristian Georgiev Andrew Ilyas Guillaume Leclerc A. Madry TDI 28 127 0 24 Mar 2023
Differentially Private Neural Tangent Kernels for Privacy-Preserving Data Generation Yilin Yang Kamil Adamczewski Danica J. Sutherland Xiaoxiao Li Mijung Park 33 14 0 03 Mar 2023
Efficient Conditionally Invariant Representation Learning Roman Pogodin Namrata Deka Yazhe Li Danica J. Sutherland Victor Veitch A. Gretton BDL OOD CML 25 16 0 16 Dec 2022
Bounding generalization error with input compression: An empirical study with infinite-width networks A. Galloway A. Golubeva Mahmoud Salem Mihai Nica Yani Andrew Ioannou Graham W. Taylor MLT AI4CE 24 4 0 19 Jul 2022
A Fast, Well-Founded Approximation to the Empirical Neural Tangent Kernel Mohamad Amin Mohamadi Wonho Bae Danica J. Sutherland AAML 29 26 0 25 Jun 2022
Double Trouble in Double Descent : Bias and Variance(s) in the Lazy Regime Stéphane dÁscoli Maria Refinetti Giulio Biroli Florent Krzakala 83 152 0 02 Mar 2020
Norm-Based Capacity Control in Neural Networks Behnam Neyshabur Ryota Tomioka Nathan Srebro 114 577 0 27 Feb 2015