benign overfitting

Mind the spikes: Benign overfitting of kernels and neural networks in fixed dimension NeurIPS 2023 On the Asymptotic Learning Curves of Kernel Ridge Regression under Power-law Decay NeurIPS 2023 Strong inductive biases provably prevent harmless interpolation ICLR 2023 The Implicit Bias of Benign Overfitting JMLR 2023 Theoretical Characterization of the Generalization Performance of Overfitted Meta-Learning ICLR 2023 Training shallow ReLU networks on noisy data using hinge loss: when do we overfit and is it benign? NeurIPS 2023 Benign Overfitting in Two-layer Convolutional Neural Networks NeurIPS 2022 Benign Overfitting without Linearity: Neural Network Classifiers Trained by Gradient Descent for Noisy Linear Data COLT 2022 Benign, Tempered, or Catastrophic: Toward a Refined Taxonomy of Overfitting NeurIPS 2022 Data-splitting improves statistical performance in overparameterized regimes AISTATS 2022 Foolish Crowds Support Benign Overfitting JMLR 2022 Harmless interpolation in regression and classification with structured features AISTATS 2022 Redundant representations help generalization in wide neural networks NeurIPS 2022 The Implicit Bias of Benign Overfitting COLT 2022 The Interplay Between Implicit Bias and Benign Overfitting in Two-Layer Linear Networks JMLR 2022 Tight bounds for minimum ℓ_1-norm interpolation of noisy data AISTATS 2022 Understanding Benign Overfitting in Gradient-Based Meta Learning NeurIPS 2022 A Deep Conditioning Treatment of Neural Networks ALT 2021 Benign Overfitting in Multiclass Classification: All Roads Lead to Interpolation NeurIPS 2021 Benign Overfitting of Constant-Stepsize SGD for Linear Regression COLT 2021 How Benign is Benign Overfitting ? ICLR 2021 Risk Bounds for Over-parameterized Maximum Margin Classification on Sub-Gaussian Mixtures NeurIPS 2021 Uniform Convergence of Interpolators: Gaussian Width, Norm Bounds and Benign Overfitting NeurIPS 2021