Skip to content
conftrace_

generalization error

387 papers

GE

Papers

How Does Pseudo-Labeling Affect the Generalization Error of the Semi-Supervised Gibbs Algorithm? AISTATS 2023 How many samples are needed to leverage smoothness? NeurIPS 2023 Improved Bound on Generalization Error of Compressed KNN Estimator AISTATS 2023 Information-Theoretic Analysis of Unsupervised Domain Adaptation ICLR 2023 Learning ReLU networks to high uniform accuracy is intractable ICLR 2023 Learning Trajectories are Generalization Indicators NeurIPS 2023 Long-Tailed Learning Requires Feature Learning ICLR 2023 Multiple Robust Learning for Recommendation AAAI 2023 Nearly Optimal VC-Dimension and Pseudo-Dimension Bounds for Deep Neural Network Derivatives NeurIPS 2023 On Balancing Bias and Variance in Unsupervised Multi-Source-Free Domain Adaptation ICML 2023 On double-descent in uncertainty quantification in overparametrized models AISTATS 2023 On the Generalization Error of Stochastic Mirror Descent for Quadratically-Bounded Losses: an Improved Analysis NeurIPS 2023 Optimality of Message-Passing Architectures for Sparse Graphs NeurIPS 2023 Optimal Nonlinearities Improve Generalization Performance of Random Features ACML 2023 Overparameterized Random Feature Regression with Nearly Orthogonal Data AISTATS 2023 Supervision Complexity and its Role in Knowledge Distillation ICLR 2023 The Onset of Variance-Limited Behavior for Networks in the Lazy and Rich Regimes ICLR 2023 Theoretical Characterization of the Generalization Performance of Overfitted Meta-Learning ICLR 2023 Theory on Forgetting and Generalization of Continual Learning ICML 2023 The Value of Out-of-Distribution Data ICML 2023 Tighter PAC-Bayes Bounds Through Coin-Betting COLT 2023 Towards Understanding Ensemble Distillation in Federated Learning ICML 2023 Tuning Frequency Bias in Neural Network Training with Nonuniform Data ICLR 2023 Understanding Few-Shot Learning: Measuring Task Relatedness and Adaptation Difficulty via Attributes NeurIPS 2023 Understanding How Consistency Works in Federated Learning via Stage-wise Relaxed Initialization NeurIPS 2023