ridge regularization

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