generalization error

Decision trees as partitioning machines to characterize their generalization properties NeurIPS 2020 Generalisation error in learning with random features and the hidden manifold model ICML 2020 Generalization bounds for deep convolutional neural networks ICLR 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 Generalization Error of Generalized Linear Models in High Dimensions ICML 2020 Improving the Robustness of Wasserstein Embedding by Adversarial PAC-Bayesian Learning AAAI 2020 In Defense of Uniform Convergence: Generalization via Derandomization with an Application to Interpolating Predictors ICML 2020 Information theoretic limits of learning a sparse rule NeurIPS 2020 Information-Theoretic Understanding of Population Risk Improvement with Model Compression AAAI 2020 In search of robust measures of generalization NeurIPS 2020 Invariant Causal Prediction for Block MDPs ICML 2020 Kernel Alignment Risk Estimator: Risk Prediction from Training Data NeurIPS 2020 Minimax Lower Bounds for Transfer Learning with Linear and One-hidden Layer Neural Networks NeurIPS 2020 Normalized Flat Minima: Exploring Scale Invariant Definition of Flat Minima for Neural Networks Using PAC-Bayesian Analysis ICML 2020 On the universality of deep learning NeurIPS 2020 On Uniform Convergence and Low-Norm Interpolation Learning NeurIPS 2020 Optimization and Generalization of Shallow Neural Networks with Quadratic Activation Functions NeurIPS 2020 Outlier Detection Ensemble with Embedded Feature Selection AAAI 2020 Overfitting Can Be Harmless for Basis Pursuit, But Only to a Degree NeurIPS 2020 Risk Bounds for Reservoir Computing JMLR 2020 Sampling Without Compromising Accuracy in Adaptive Data Analysis ALT 2020 Spectral Pruning: Compressing Deep Neural Networks via Spectral Analysis and its Generalization Error IJCAI 2020 Spectrum Dependent Learning Curves in Kernel Regression and Wide Neural Networks ICML 2020 Stability of Stochastic Gradient Descent on Nonsmooth Convex Losses NeurIPS 2020