generalization error

Geometrically Inspired Kernel Machines for Collaborative Learning Beyond Gradient Descent (Abstract Reprint) AAAI 2026 Is Memorization Helpful or Harmful? Prior Information Sets the Threshold COLT 2026 Optimal Approximation and Generalization Errors for Deep Convolutional Neural Networks JMLR 2026 Precise Performance of Linear Denoisers in The Proportional Regime L4DC 2026 Scaling Law Analysis in Federated Learning: How to Select the Optimal Model Size? AAAI 2026 (1+1) Genetic Programming with Functionally Complete Instruction Sets Can Evolve Boolean Conjunctions and Disjunctions with Arbitrarily Small Error AAAI 2025 Analyzing Neural Scaling Laws in Two-Layer Networks with Power-Law Data Spectra ICLR 2025 A Priori Estimation of the Approximation, Optimization and Generalization Errors of Random Neural Networks for Solving Partial Differential Equations IJCAI 2025 A Random Matrix Theory Perspective on the Spectrum of Learned Features and Asymptotic Generalization Capabilities AISTATS 2025 Asymptotic Analysis of Two-Layer Neural Networks after One Gradient Step under Gaussian Mixtures Data with Structure ICLR 2025 A Unified Framework for Generalization Error Analysis of Learning with Arbitrary Discrete Weak Features ICML 2025 Boosting, Voting Classifiers and Randomized Sample Compression Schemes ALT 2025 Critical Influence of Overparameterization on Sharpness-aware Minimization UAI 2025 Cross Validation for Correlated Data in Classification Models AISTATS 2025 Deep Linear Probe Generators for Weight Space Learning ICLR 2025 Error Analysis Affected by Heavy-Tailed Gradients for Non-Convex Pairwise Stochastic Gradient Descent AAAI 2025 Fast and Multiphase Rates for Nearest Neighbor Classifiers COLT 2025 FedHB: Hierarchical Bayesian Federated Learning JMLR 2025 Generalization and Robustness of the Tilted Empirical Risk ICML 2025 Generalization bounds for mixing processes via delayed online-to-PAC conversions ALT 2025 Generalization error bound for denoising score matching under relaxed manifold assumption COLT 2025 Generalization in Federated Learning: A Conditional Mutual Information Framework ICML 2025 Generalization Lower Bounds for GD and SGD in Smooth Stochastic Convex Optimization AISTATS 2025 Generalization Performance of Ensemble Clustering: From Theory to Algorithm ICML 2025 Graph Neural Network Generalization With Gaussian Mixture Model Based Augmentation ICML 2025