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benign overfitting

35 papers

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Co-occurring keywords

gradient descent (1144) neural network (6616) excess risk (66) linear regression (282) neural tangent kernel (205) hinge loss (49) relu network (143) implicit bia (107) risk bound (71) kernel ridge regression (111)

Papers

Benign overfitting in leaky ReLU networks with moderate input dimension NIPS 2024
Overfitting Behaviour of Gaussian Kernel Ridgeless Regression: Varying Bandwidth or Dimensionality NIPS 2024
Understanding Surprising Generalization Phenomena in Deep Learning AAAI 2024
Provable Tempered Overfitting of Minimal Nets and Typical Nets NIPS 2024
Unveil Benign Overfitting for Transformer in Vision: Training Dynamics, Convergence, and Generalization NIPS 2024
The Implicit Bias of Benign Overfitting JMLR 2023
Benign Overfitting in Deep Neural Networks under Lazy Training ICML 2023
Benign Overfitting in Two-layer ReLU Convolutional Neural Networks ICML 2023
Implicit Regularization Leads to Benign Overfitting for Sparse Linear Regression ICML 2023
Benign Overfitting in Adversarially Robust Linear Classification UAI 2023
Benign Overfitting in Linear Classifiers and Leaky ReLU Networks from KKT Conditions for Margin Maximization COLT 2023
Deep linear networks can benignly overfit when shallow ones do JMLR 2023
Benign overfitting in ridge regression JMLR 2023
Training shallow ReLU networks on noisy data using hinge loss: when do we overfit and is it benign? NIPS 2023
On the Asymptotic Learning Curves of Kernel Ridge Regression under Power-law Decay NIPS 2023
Mind the spikes: Benign overfitting of kernels and neural networks in fixed dimension NIPS 2023
From Tempered to Benign Overfitting in ReLU Neural Networks NIPS 2023
Is interpolation benign for random forest regression? AISTATS 2023
Benign overfitting of non-smooth neural networks beyond lazy training AISTATS 2023
The Interplay Between Implicit Bias and Benign Overfitting in Two-Layer Linear Networks JMLR 2022
Foolish Crowds Support Benign Overfitting JMLR 2022
Data-splitting improves statistical performance in overparameterized regimes AISTATS 2022
Understanding Benign Overfitting in Gradient-Based Meta Learning NIPS 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 NIPS 2022