generalization error

Subspace Fitting Meets Regression: The Effects of Supervision and Orthonormality Constraints on Double Descent of Generalization Errors ICML 2020 The Role of Regularization in Classification of High-dimensional Noisy Gaussian Mixture ICML 2020 Towards Problem-dependent Optimal Learning Rates NeurIPS 2020 Triple descent and the two kinds of overfitting: where & why do they appear? NeurIPS 2020 Understanding Double Descent Requires A Fine-Grained Bias-Variance Decomposition NeurIPS 2020 What Neural Networks Memorize and Why: Discovering the Long Tail via Influence Estimation NeurIPS 2020 An analytic theory of generalization dynamics and transfer learning in deep linear networks ICLR 2019 A Necessary and Sufficient Stability Notion for Adaptive Generalization NeurIPS 2019 Asymmetric Valleys: Beyond Sharp and Flat Local Minima NeurIPS 2019 Capacity Control of ReLU Neural Networks by Basis-Path Norm AAAI 2019 Consistency of Interpolation with Laplace Kernels is a High-Dimensional Phenomenon COLT 2019 Deep learning generalizes because the parameter-function map is biased towards simple functions ICLR 2019 Deep Neural Networks Learn Non-Smooth Functions Effectively AISTATS 2019 Dynamics of stochastic gradient descent for two-layer neural networks in the teacher-student setup NeurIPS 2019 Exploiting Class Learnability in Noisy Data AAAI 2019 Fine-grained Optimization of Deep Neural Networks NeurIPS 2019 Fisher-Rao Metric, Geometry, and Complexity of Neural Networks AISTATS 2019 Generalizable Adversarial Training via Spectral Normalization ICLR 2019 Generalization Error Analysis of Quantized Compressive Learning NeurIPS 2019 Learning and Data Selection in Big Datasets ICML 2019 On Robustness of Principal Component Regression NeurIPS 2019 Region-Based Active Learning AISTATS 2019 Training Complex Models with Multi-Task Weak Supervision AAAI 2019 Transductive Bounds for the Multi-Class Majority Vote Classifier AAAI 2019 A Unified Analysis of Stochastic Momentum Methods for Deep Learning IJCAI 2018