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Generalization Bounds

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TitleStatusHype
Fast Rate Bounds for Multi-Task and Meta-Learning with Different Sample Sizes—0
Graph Representational Learning: When Does More Expressivity Hurt Generalization?Code0
Generalization Bounds for Quantum Learning via Rényi Divergences—0
Efficient End-to-End Learning for Decision-Making: A Meta-Optimization Approach—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
Stability and Generalization of Quantum Neural Networks—0
Generalization Performance of Hypergraph Neural NetworksCode0
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
Explainable Neural Networks with Guarantees: A Sparse Estimation Approach—0
Data-Dependent Generalization Bounds for Parameterized Quantum Models Under Noise—0
Generalization Analysis for Deep Contrastive Representation Learning—0
Deep Distributed Optimization for Large-Scale Quadratic Programming—0
Representation and Regression Problems in Neural Networks: Relaxation, Generalization, and Numerics—0
On Generalization Bounds for Neural Networks with Low Rank Layers—0
Smart Predict-then-Optimize Method with Dependent Data: Risk Bounds and Calibration of Autoregression—0
Multi-View Majority Vote Learning Algorithms: Direct Minimization of PAC-Bayesian Bounds—0
Generalization, Expressivity, and Universality of Graph Neural Networks on Attributed Graphs—0
A Convex Relaxation Approach to Generalization Analysis for Parallel Positively Homogeneous Networks—0
Generalization Bounds via Conditional f-InformationCode0
Robust Model Evaluation over Large-scale Federated Networks—0
On the Geometry of Regularization in Adversarial Training: High-Dimensional Asymptotics and Generalization Bounds—0
On Cold Posteriors of Probabilistic Neural Networks: Understanding the Cold Posterior Effect and A New Way to Learn Cold Posteriors with Tight Generalization GuaranteesCode0
Sample Compression Hypernetworks: From Generalization Bounds to Meta-Learning—0
On Rank-Dependent Generalisation Error Bounds for Transformers—0
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