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Generalization Bounds

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TitleStatusHype
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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