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Generalization Bounds

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Showing 551–600 of 686 papers

TitleStatusHype
(Almost) No Label No Cry—0
A Manifold Perspective on the Statistical Generalization of Graph Neural Networks—0
A Margin-based Multiclass Generalization Bound via Geometric Complexity—0
A Markovian Model for Learning-to-Optimize—0
A Mechanism of Implicit Regularization in Deep Learning—0
An a Priori Exponential Tail Bound for k-Folds Cross-Validation—0
A New Family of Generalization Bounds Using Samplewise Evaluated CMI—0
A New Perspective on Machine Learning: How to do Perfect Supervised Learning—0
An Exponential Efron-Stein Inequality for Lq Stable Learning Rules—0
An Information-Theoretic Framework for Out-of-Distribution Generalization with Applications to Stochastic Gradient Langevin Dynamics—0
A Nonlinear Kernel Support Matrix Machine for Matrix Learning—0
A note on generalization bounds for losses with finite moments—0
A Note on High-Probability versus In-Expectation Guarantees of Generalization Bounds in Machine Learning—0
A Novel Plug-and-Play Approach for Adversarially Robust Generalization—0
A PAC-Bayesian Approach to Generalization Bounds for Graph Neural Networks—0
A PAC-Bayesian Generalization Bound for Equivariant Networks—0
A PAC-Bayesian Tutorial with A Dropout Bound—0
Apportioned Margin Approach for Cost Sensitive Large Margin Classifiers—0
Approximate Description Length, Covering Numbers, and VC Dimension—0
A Primal-Dual link between GANs and Autoencoders—0
A Rademacher Complexity Based Method fo rControlling Power and Confidence Level in Adaptive Statistical Analysis—0
Architecture independent generalization bounds for overparametrized deep ReLU networks—0
A study of the classification of low-dimensional data with supervised manifold learning—0
Generalization Error Bounds for Noisy, Iterative Algorithms via Maximal Leakage—0
A Theory of Label Propagation for Subpopulation Shift—0
A Theory of Output-Side Unsupervised Domain Adaptation—0
A Tight Lower Bound for Uniformly Stable Algorithms—0
A unified framework for information-theoretic generalization bounds—0
A unified framework for learning with nonlinear model classes from arbitrary linear samples—0
A Unified Model and Dimension for Interactive Estimation—0
A unified recipe for deriving (time-uniform) PAC-Bayes bounds—0
A Uniform Generalization Error Bound for Generative Adversarial Networks—0
BARACK: Partially Supervised Group Robustness With Guarantees—0
Benign overfitting in ridge regression—0
Bennett-type Generalization Bounds: Large-deviation Case and Faster Rate of Convergence—0
Dissecting Non-Vacuous Generalization Bounds based on the Mean-Field Approximation—0
Beyond GNNs: A Sample Efficient Architecture for Graph Problems—0
Black-Box Generalization: Stability of Zeroth-Order Learning—0
Block Contextual MDPs for Continual Learning—0
Boosting the Confidence of Generalization for L_2-Stable Randomized Learning Algorithms—0
Boosting the Confidence of Near-Tight Generalization Bounds for Uniformly Stable Randomized Algorithms—0
Boosting the kernelized shapelets: Theory and algorithms for local features—0
Boosting with the Logistic Loss is Consistent—0
Can SGD Learn Recurrent Neural Networks with Provable Generalization?—0
Causal Dynamic Variational Autoencoder for Counterfactual Regression in Longitudinal Data—0
Chaining Mutual Information and Tightening Generalization Bounds—0
Characterizing Membership Privacy in Stochastic Gradient Langevin Dynamics—0
Classification with Deep Neural Networks and Logistic Loss—0
Class-wise Generalization Error: an Information-Theoretic Analysis—0
On the Sample Complexity of Stability Constrained Imitation Learning—0
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