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Generalization Bounds

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TitleStatusHype
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
What is a Good Metric to Study Generalization of Minimax Learners?—0
Learning Non-Vacuous Generalization Bounds from OptimizationCode0
Boosting the Confidence of Generalization for L_2-Stable Randomized Learning Algorithms—0
Reconsidering Learning Objectives in Unbiased Recommendation with Unobserved Confounders—0
Shedding a PAC-Bayesian Light on Adaptive Sliced-Wasserstein DistancesCode0
Rate-Distortion Theoretic Bounds on Generalization Error for Distributed LearningCode0
Robust Fine-Tuning of Deep Neural Networks with Hessian-based Generalization GuaranteesCode0
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
Generalization Bounds of Nonconvex-(Strongly)-Concave Stochastic Minimax Optimization—0
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