generalization error

The Tree Loss: Improving Generalization with Many Classes AISTATS 2022 Understanding and Leveraging Overparameterization in Recursive Value Estimation ICLR 2022 Uniform Stability for First-Order Empirical Risk Minimization COLT 2022 Zero-shot Cross-lingual Transfer is Under-specified Optimization ACL 2022 An Exact Characterization of the Generalization Error for the Gibbs Algorithm NeurIPS 2021 A Priori Generalization Analysis of the Deep Ritz Method for Solving High Dimensional Elliptic Partial Differential Equations COLT 2021 A Theory of the Risk for Optimization with Relaxation and its Application to Support Vector Machines JMLR 2021 A Unified Sample Selection Framework for Output Noise Filtering: An Error-Bound Perspective JMLR 2021 Classification vs regression in overparameterized regimes: Does the loss function matter? JMLR 2021 CPT: Efficient Deep Neural Network Training via Cyclic Precision ICLR 2021 Exact Gap between Generalization Error and Uniform Convergence in Random Feature Models ICML 2021 Fast rates for prediction with limited expert advice NeurIPS 2021 Fractal Structure and Generalization Properties of Stochastic Optimization Algorithms NeurIPS 2021 Generalization Bounds for Graph Embedding Using Negative Sampling: Linear vs Hyperbolic NeurIPS 2021 Generalization Error Rates in Kernel Regression: The Crossover from the Noiseless to Noisy Regime NeurIPS 2021 Good Classifiers are Abundant in the Interpolating Regime AISTATS 2021 Gradient Methods Never Overfit On Separable Data JMLR 2021 How Does Loss Function Affect Generalization Performance of Deep Learning? Application to Human Age Estimation ICML 2021 How rotational invariance of common kernels prevents generalization in high dimensions ICML 2021 How Tight Can PAC-Bayes be in the Small Data Regime? NeurIPS 2021 Information-Theoretic Generalization Bounds for Stochastic Gradient Descent COLT 2021 Intrinsic Dimension, Persistent Homology and Generalization in Neural Networks NeurIPS 2021 Learning curves of generic features maps for realistic datasets with a teacher-student model NeurIPS 2021 Learning with Gradient Descent and Weakly Convex Losses AISTATS 2021 Loss function based second-order Jensen inequality and its application to particle variational inference NeurIPS 2021