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Generalization Bounds

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Showing 151–175 of 686 papers

TitleStatusHype
A General Framework for the Practical Disintegration of PAC-Bayesian BoundsCode0
Generalization Bounds For Meta-Learning: An Information-Theoretic AnalysisCode0
Enhancing In-Context Learning Performance with just SVD-Based Weight Pruning: A Theoretical PerspectiveCode0
Implicit Bias of Gradient Descent for Wide Two-layer Neural Networks Trained with the Logistic LossCode0
Linear predictor on linearly-generated data with missing values: non consistency and solutionsCode0
Learning Expressive Priors for Generalization and Uncertainty Estimation in Neural NetworksCode0
Learning Stochastic Majority Votes by Minimizing a PAC-Bayes Generalization BoundCode0
Escaping the Curse of Dimensionality in Similarity Learning: Efficient Frank-Wolfe Algorithm and Generalization BoundsCode0
RATT: Leveraging Unlabeled Data to Guarantee GeneralizationCode0
Deep Networks as Logical Circuits: Generalization and Interpretation—0
Deep multi-Wasserstein unsupervised domain adaptation—0
A Theory of Label Propagation for Subpopulation Shift—0
Generalization Error Bounds for Noisy, Iterative Algorithms via Maximal Leakage—0
(Almost) No Label No Cry—0
Deep Distributed Optimization for Large-Scale Quadratic Programming—0
Decoupling Gating from Linearity—0
On Generalization of Decentralized Learning with Separable Data—0
A study of the classification of low-dimensional data with supervised manifold learning—0
A Limitation of the PAC-Bayes Framework—0
Adversarial Networks and Autoencoders: The Primal-Dual Relationship and Generalization Bounds—0
Generalization Bound and Learning Methods for Data-Driven Projections in Linear Programming—0
Data-Driven Neural Certificate Synthesis—0
Architecture independent generalization bounds for overparametrized deep ReLU networks—0
Data-Dependent Stability of Stochastic Gradient Descent—0
Data-Dependent Stability Analysis of Adversarial Training—0
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