Generalization

Generalization Bound of Gradient Descent for Non-Convex Metric Learning NeurIPS 2020 Generalization Error Bounds of Gradient Descent for Learning Over-Parameterized Deep ReLU Networks AAAI 2020 Generalization error in high-dimensional perceptrons: Approaching Bayes error with convex optimization NeurIPS 2020 Gradient descent follows the regularization path for general losses COLT 2020 High-Frequency Component Helps Explain the Generalization of Convolutional Neural Networks CVPR 2020 How Can We Accelerate Progress Towards Human-like Linguistic Generalization? ACL 2020 Information-Theoretic Understanding of Population Risk Improvement with Model Compression AAAI 2020 In search of robust measures of generalization NeurIPS 2020 Kernel Alignment Risk Estimator: Risk Prediction from Training Data NeurIPS 2020 Kernel and Rich Regimes in Overparametrized Models COLT 2020 Neural Complexity Measures NeurIPS 2020 On Computation and Generalization of Generative Adversarial Imitation Learning ICLR 2020 On Generalization Error Bounds of Noisy Gradient Methods for Non-Convex Learning ICLR 2020 On the Multiple Descent of Minimum-Norm Interpolants and Restricted Lower Isometry of Kernels COLT 2020 On the Value of Out-of-Distribution Testing: An Example of Goodhart's Law NeurIPS 2020 Open Problem: Information Complexity of VC Learning COLT 2020 Overfitting Can Be Harmless for Basis Pursuit, But Only to a Degree NeurIPS 2020 Reasoning About Generalization via Conditional Mutual Information COLT 2020 Robustness Certificates for Sparse Adversarial Attacks by Randomized Ablation AAAI 2020 Sharpened Generalization Bounds based on Conditional Mutual Information and an Application to Noisy, Iterative Algorithms NeurIPS 2020 Sharper Bounds for Uniformly Stable Algorithms COLT 2020 Understanding Double Descent Requires A Fine-Grained Bias-Variance Decomposition NeurIPS 2020 Understanding Generalization in Neural Networks for Robustness against Adversarial Vulnerabilities AAAI 2020 A Closer Look at Data Bias in Neural Extractive Summarization Models EMNLP 2019 A Generalization Bound for Online Variational Inference ACML 2019