conftrace_

ridge regularization

14 papers

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Co-occurring keywords

implicit regularization (93) linear regression (282) neural network (6616) membership inference (114) ridge regression (134) semi-supervised learning (2341) double descent (52) missing datum (111) random feature model (12) feature ensemble (8)

Papers

Implicit Regularization Paths of Weighted Neural Representations NIPS 2024
Monotonic Risk Relationships under Distribution Shifts for Regularized Risk Minimization JMLR 2024
A Blessing of Dimensionality in Membership Inference through Regularization AISTATS 2023
Naive imputation implicitly regularizes high-dimensional linear models ICML 2023
Parameters or Privacy: A Provable Tradeoff Between Overparameterization and Membership Inference NIPS 2022
Imbalance Trouble: Revisiting Neural-Collapse Geometry NIPS 2022
Fundamental Limits of Ridge-Regularized Empirical Risk Minimization in High Dimensions AISTATS 2021
On the Inherent Regularization Effects of Noise Injection During Training ICML 2021
Interpolation can hurt robust generalization even when there is no noise NIPS 2021
A Theoretical Characterization of Semi-supervised Learning with Self-training for Gaussian Mixture Models AISTATS 2021
The Optimal Ridge Penalty for Real-world High-dimensional Data Can Be Zero or Negative due to the Implicit Ridge Regularization JMLR 2020
Exact expressions for double descent and implicit regularization via surrogate random design NIPS 2020
Asymptotic normality and confidence intervals for derivatives of 2-layers neural network in the random features model NIPS 2020
Improved large-scale graph learning through ridge spectral sparsification ICML 2018