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Generalization Bounds

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TitleStatusHype
Deep Networks as Logical Circuits: Generalization and Interpretation—0
Explaining generalization in deep learning: progress and fundamental limits—0
Failures of model-dependent generalization bounds for least-norm interpolation—0
Boosting the Confidence of Near-Tight Generalization Bounds for Uniformly Stable Randomized Algorithms—0
Boosting the Confidence of Generalization for L_2-Stable Randomized Learning Algorithms—0
A New Family of Generalization Bounds Using Samplewise Evaluated CMI—0
Block Contextual MDPs for Continual Learning—0
Black-Box Generalization: Stability of Zeroth-Order Learning—0
An a Priori Exponential Tail Bound for k-Folds Cross-Validation—0
A Generalization Bound for Nearly-Linear Networks—0
Equivariant score-based generative models provably learn distributions with symmetries efficiently—0
Efficient and Reliable Overlay Networks for Decentralized Federated Learning—0
Dissecting Non-Vacuous Generalization Bounds based on the Mean-Field Approximation—0
Bennett-type Generalization Bounds: Large-deviation Case and Faster Rate of Convergence—0
Dropout Training, Data-dependent Regularization, and Generalization Bounds—0
Benign overfitting in ridge regression—0
Epistemic Errors of Imperfect Multitask Learners When Distributions Shift—0
Estimating Lipschitz constants of monotone deep equilibrium models—0
Evaluated CMI Bounds for Meta Learning: Tightness and Expressiveness—0
Dynamical simulation via quantum machine learning with provable generalization—0
Effective Distributed Learning with Random Features: Improved Bounds and Algorithms—0
Domain Adaptation: Learning Bounds and Algorithms—0
Efron-Stein PAC-Bayesian Inequalities—0
Beyond GNNs: A Sample Efficient Architecture for Graph Problems—0
BARACK: Partially Supervised Group Robustness With Guarantees—0
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