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generalization error

387 papers

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Papers

How Does the Smoothness Approximation Method Facilitate Generalization for Federated Adversarial Learning? AAAI 2025 How many samples are needed to train a deep neural network? ICLR 2025 Infinite Width Limits of Self Supervised Neural Networks AISTATS 2025 Information-theoretic reduction of deep neural networks to linear models in the overparametrized proportional regime COLT 2025 Learning from Label Proportions and Covariate-shifted Instances UAI 2025 Learning with Exact Invariances in Polynomial Time ICML 2025 Noise Separation guided Candidate Label Reconstruction for Noisy Partial Label Learning ICLR 2025 On Non-asymptotic Theory of Recurrent Neural Networks in Temporal Point Processes JMLR 2025 On the Ability of Deep Networks to Learn Symmetries from Data: A Neural Kernel Theory JMLR 2025 On the Sample Complexity of Next-Token Prediction AISTATS 2025 Optimal Rates of Kernel Ridge Regression under Source Condition in Large Dimensions JMLR 2025 Overtuning in Hyperparameter Optimization AutoML 2025 PAC-Bayes Analysis for Recalibration in Classification ICML 2025 Parabolic Continual Learning AISTATS 2025 Rethinking Benign Overfitting in Two-Layer Neural Networks ICML 2025 Sample Complexity of Linear Regression Models for Opinion Formation in Networks AAAI 2025 Seeking Consistent Flat Minima for Better Domain Generalization via Refining Loss Landscapes CVPR 2025 Stability and Generalization for Stochastic (Compositional) Optimizations IJCAI 2025 Statistical Guarantees for Unpaired Image-to-Image Cross-Domain Analysis using GANs AISTATS 2025 Supercharging Graph Transformers with Advective Diffusion ICML 2025 The Size of Teachers as a Measure of Data Complexity: PAC-Bayes Excess Risk Bounds and Scaling Laws AISTATS 2025 Toward Understanding In-context vs. In-weight Learning ICLR 2025 Training Data Provenance Verification: Did Your Model Use Synthetic Data from My Generative Model for Training? CVPR 2025 Understanding the Stability-based Generalization of Personalized Federated Learning ICLR 2025 Universality of Kernel Random Matrices and Kernel Regression in the Quadratic Regime JMLR 2025