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Generalization Bounds

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TitleStatusHype
Stable Sample Compression Schemes: New Applications and an Optimal SVM Margin BoundCode0
Instance based Generalization in Reinforcement LearningCode0
Compressive Sensing and Neural Networks from a Statistical Learning Perspective—0
Toward Better Generalization Bounds with Locally Elastic Stability—0
Non-parametric Binary regression in metric spaces with KL loss—0
Failures of model-dependent generalization bounds for least-norm interpolation—0
Selective Classification via One-Sided PredictionCode0
Dissecting Hessian: Understanding Common Structure of Hessian in Neural Networks—0
Theoretical Analysis of Self-Training with Deep Networks on Unlabeled Data—0
A Note on High-Probability versus In-Expectation Guarantees of Generalization Bounds in Machine Learning—0
Lipschitz Bounded Equilibrium Networks—0
Benign overfitting in ridge regression—0
Complex-valued embeddings of generic proximity data—0
A Functional Perspective on Learning Symmetric Functions with Neural Networks—0
On Localized Discrepancy for Domain Adaptation—0
Tighter Generalization Bounds for Iterative Differentially Private Learning Algorithms—0
Functions with average smoothness: structure, algorithms, and learning—0
Predictive Value Generalization Bounds—0
Consistent Structured Prediction with Max-Min Margin Markov NetworksCode0
Relative Deviation Margin Bounds—0
Private Stochastic Non-Convex Optimization: Adaptive Algorithms and Tighter Generalization Bounds—0
A Limitation of the PAC-Bayes Framework—0
PAC-Bayesian Generalization Bounds for MultiLayer Perceptrons—0
Hausdorff Dimension, Heavy Tails, and Generalization in Neural NetworksCode0
Fine-Grained Analysis of Stability and Generalization for Stochastic Gradient Descent—0
Learnability with Indirect Supervision Signals—0
Stability of Stochastic Gradient Descent on Nonsmooth Convex Losses—0
Tangent Space Sensitivity and Distribution of Linear Regions in ReLU Networks—0
Recovery and Generalization in Over-Realized Dictionary Learning—0
Generalization Bounds in the Presence of Outliers: a Median-of-Means Study—0
Near-Tight Margin-Based Generalization Bounds for Support Vector Machines—0
Generalization Bounds via Information Density and Conditional Information Density—0
Stopping criterion for active learning based on deterministic generalization bounds—0
Information-Theoretic Generalization Bounds for Meta-Learning and Applications—0
Improved Sample Complexities for Deep Neural Networks and Robust Classification via an All-Layer Margin—0
Understanding Generalization in Recurrent Neural Networks—0
Sharpened Generalization Bounds based on Conditional Mutual Information and an Application to Noisy, Iterative Algorithms—0
Detached Error Feedback for Distributed SGD with Random Sparsification—0
Deep Networks as Logical Circuits: Generalization and Interpretation—0
Neural Networks and Polynomial Regression. Demystifying the Overparametrization Phenomena—0
On the generalization of bayesian deep nets for multi-class classification—0
De-randomized PAC-Bayes Margin Bounds: Applications to Non-convex and Non-smooth Predictors—0
On generalization in moment-based domain adaptation—0
Learning Fair Scoring Functions: Bipartite Ranking under ROC-based Fairness Constraints—0
Generalization and Representational Limits of Graph Neural Networks—0
Nonasymptotic analysis of Stochastic Gradient Hamiltonian Monte Carlo under local conditions for nonconvex optimization—0
Implicit Bias of Gradient Descent for Wide Two-layer Neural Networks Trained with the Logistic LossCode0
Nested Barycentric Coordinate System as an Explicit Feature Map—0
Apportioned Margin Approach for Cost Sensitive Large Margin Classifiers—0
Linear predictor on linearly-generated data with missing values: non consistency and solutionsCode0
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