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Generalization Bounds

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TitleStatusHype
Information-Theoretic Generalization Bounds of Replay-based Continual Learning—0
Tuning without Peeking: Provable Privacy and Generalization Bounds for LLM Post-Training—0
Tight Generalization Error Bounds for Stochastic Gradient Descent in Non-convex Learning—0
Sharp Generalization Bounds for Foundation Models with Asymmetric Randomized Low-Rank Adapters—0
Stability Analysis of Physics-Informed Neural Networks via Variational Coercivity, Perturbation Bounds, and Concentration Estimates—0
Fairness Overfitting in Machine Learning: An Information-Theoretic Perspective—0
Neural Drift Estimation for Ergodic Diffusions: Non-parametric Analysis and Numerical Exploration—0
Epistemic Errors of Imperfect Multitask Learners When Distributions Shift—0
Learning Where to Learn: Training Distribution Selection for Provable OOD PerformanceCode0
Operator Learning for Schrödinger Equation: Unitarity, Error Bounds, and Time GeneralizationCode0
Generalization Through Growth: Hidden Dynamics Controls Depth Dependence—0
Fast Rate Bounds for Multi-Task and Meta-Learning with Different Sample Sizes—0
Graph Representational Learning: When Does More Expressivity Hurt Generalization?Code0
Efficient End-to-End Learning for Decision-Making: A Meta-Optimization Approach—0
Generalization Bounds for Quantum Learning via Rényi Divergences—0
Generalization Bounds and Stopping Rules for Learning with Self-Selected Data—0
Model Steering: Learning with a Reference Model Improves Generalization Bounds and Scaling LawsCode0
Generalization Analysis for Contrastive Representation Learning under Non-IID Settings—0
Generalization Guarantees for Multi-View Representation Learning and Application to Regularization via Gaussian Product Mixture Prior—0
Achieving Distributive Justice in Federated Learning via Uncertainty QuantificationCode0
Compute-Optimal LLMs Provably Generalize Better With Scale—0
Generalization Bounds in Hybrid Quantum-Classical Machine Learning Models—0
Architecture independent generalization bounds for overparametrized deep ReLU networks—0
Improving Equivariant Networks with Probabilistic Symmetry Breaking—0
Non-vacuous Generalization Bounds for Deep Neural Networks without any modification to the trained models—0
Generalizability of Neural Networks Minimizing Empirical Risk Based on Expressive Ability—0
Stability-based Generalization Analysis of Randomized Coordinate Descent for Pairwise Learning—0
Generalization Bounds for Equivariant Networks on Markov Data—0
Towards Auto-Regressive Next-Token Prediction: In-Context Learning Emerges from Generalization—0
Improved Margin Generalization Bounds for Voting Classifiers—0
Tight Generalization Bounds for Large-Margin Halfspaces—0
SeWA: Selective Weight Average via Probabilistic Masking—0
Scaling Law for Stochastic Gradient Descent in Quadratically Parameterized Linear Regression—0
Understanding the Generalization Error of Markov algorithms through Poissonization—0
Adversarial Transform Particle FiltersCode0
Data-Driven Neural Certificate Synthesis—0
Unveiling the Mechanisms of Explicit CoT Training: How CoT Enhances Reasoning GeneralizationCode0
Algorithmic Stability of Stochastic Gradient Descent with Momentum under Heavy-Tailed Noise—0
From Low Intrinsic Dimensionality to Non-Vacuous Generalization Bounds in Deep Multi-Task LearningCode0
Towards the Generalization of Multi-view Learning: An Information-theoretical Analysis—0
Towards Sharper Information-theoretic Generalization Bounds for Meta-Learning—0
Generalization Performance of Hypergraph Neural NetworksCode0
Stability and Generalization of Quantum Neural Networks—0
Explainable Neural Networks with Guarantees: A Sparse Estimation Approach—0
Regularized Proportional Fairness Mechanism for Resource Allocation Without Money—0
Understanding Difficult-to-learn Examples in Contrastive Learning: A Theoretical Framework for Spectral Contrastive Learning—0
Generalization Analysis for Deep Contrastive Representation Learning—0
Data-Dependent Generalization Bounds for Parameterized Quantum Models Under Noise—0
The Complexity Dynamics of GrokkingCode1
Deep Distributed Optimization for Large-Scale Quadratic Programming—0
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