generalization error

What and How does In-Context Learning Learn? Bayesian Model Averaging, Parameterization, and Generalization AISTATS 2025 A Comprehensive Analysis on the Learning Curve in Kernel Ridge Regression NeurIPS 2024 A Precise Characterization of SGD Stability Using Loss Surface Geometry ICLR 2024 Asymptotic Characterisation of the Performance of Robust Linear Regression in the Presence of Outliers AISTATS 2024 Asymptotics of feature learning in two-layer networks after one gradient-step ICML 2024 A two-scale Complexity Measure for Deep Learning Models NeurIPS 2024 Bayesian Coreset Optimization for Personalized Federated Learning ICLR 2024 Better-than-KL PAC-Bayes Bounds COLT 2024 Coded Computing for Resilient Distributed Computing: A Learning-Theoretic Framework NeurIPS 2024 Critical Gap Between Generalization Error and Empirical Error in Active Learning WACV 2024 Deeper or Wider: A Perspective from Optimal Generalization Error with Sobolev Loss ICML 2024 Deep Nonparametric Estimation of Operators between Infinite Dimensional Spaces JMLR 2024 Deep Regression Representation Learning with Topology ICML 2024 Differentially Private Worst-group Risk Minimization ICML 2024 Dimension-free deterministic equivalents and scaling laws for random feature regression NeurIPS 2024 Double-Descent Curves in Neural Networks: A New Perspective Using Gaussian Processes AAAI 2024 Estimating Generalization Performance Along the Trajectory of Proximal SGD in Robust Regression NeurIPS 2024 Flat Minima in Linear Estimation and an Extended Gauss Markov Theorem ICLR 2024 Generalization Error Bounds for Two-stage Recommender Systems with Tree Structure NeurIPS 2024 Generalization Error of Graph Neural Networks in the Mean-field Regime ICML 2024 Generalization error of spectral algorithms ICLR 2024 Improved Stability and Generalization Guarantees of the Decentralized SGD Algorithm ICML 2024 Information-theoretic Generalization Analysis for Expected Calibration Error NeurIPS 2024 IWBVT: Instance Weighting-based Bias-Variance Trade-off for Crowdsourcing NeurIPS 2024 Learning Label Shift Correction for Test-Agnostic Long-Tailed Recognition ICML 2024