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Generalization Bounds

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TitleStatusHype
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
Towards Sharper Risk Bounds for Minimax Problems—0
Online-to-PAC generalization bounds under graph-mixing dependencies—0
Understanding Adversarially Robust Generalization via Weight-Curvature Index—0
Generalization Bounds and Model Complexity for Kolmogorov-Arnold Networks—0
Theoretical Insights into Fine-Tuning Attention Mechanism: Generalization and OptimizationCode0
Large Language Models as Markov Chains—0
Which Algorithms Have Tight Generalization Bounds?—0
Equivariant score-based generative models provably learn distributions with symmetries efficiently—0
Sample Compression Unleashed: New Generalization Bounds for Real Valued LossesCode0
Learning to Classify Quantum Phases of Matter with a Few Measurements—0
Introduction to Machine Learning—0
Online Optimization for Learning to Communicate over Time-Correlated Channels—0
A Markovian Model for Learning-to-Optimize—0
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