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Generalization Bounds

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TitleStatusHype
Teacher Guided Training: An Efficient Framework for Knowledge Transfer—0
On Rademacher Complexity-based Generalization Bounds for Deep Learning—0
Integral Probability Metrics PAC-Bayes BoundsCode0
On Leave-One-Out Conditional Mutual Information For Generalization—0
Robustness Implies Generalization via Data-Dependent Generalization Bounds—0
On how to avoid exacerbating spurious correlations when models are overparameterized—0
Cold Posteriors through PAC-Bayes—0
Data Augmentation vs. Equivariant Networks: A Theory of Generalization on Dynamics Forecasting—0
Provable Generalization of Overparameterized Meta-learning Trained with SGD—0
On the Role of Generalization in Transferability of Adversarial Examples—0
Generalization Bounds for Data-Driven Numerical Linear Algebra—0
Max-Margin Works while Large Margin Fails: Generalization without Uniform Convergence—0
Memory Classifiers: Two-stage Classification for Robustness in Machine Learning—0
Learning Non-Vacuous Generalization Bounds from OptimizationCode0
What is a Good Metric to Study Generalization of Minimax Learners?—0
Boosting the Confidence of Generalization for L_2-Stable Randomized Learning Algorithms—0
Shedding a PAC-Bayesian Light on Adaptive Sliced-Wasserstein DistancesCode0
Reconsidering Learning Objectives in Unbiased Recommendation with Unobserved Confounders—0
Robust Fine-Tuning of Deep Neural Networks with Hessian-based Generalization GuaranteesCode0
Rate-Distortion Theoretic Bounds on Generalization Error for Distributed LearningCode0
Dimension Independent Generalization of DP-SGD for Overparameterized Smooth Convex Optimization—0
Optimal Weak to Strong Learning—0
A Communication-efficient Algorithm with Linear Convergence for Federated Minimax Learning—0
VC Theoretical Explanation of Double Descent—0
Generalization bounds and algorithms for estimating conditional average treatment effect of dosage—0
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