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Generalization Bounds

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TitleStatusHype
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
Generalization Guarantees for Imitation LearningCode1
Principles and Algorithms for Forecasting Groups of Time Series: Locality and GlobalityCode1
Tighter Generalization Bounds for Iterative Differentially Private Learning Algorithms—0
Learning Robust State Abstractions for Hidden-Parameter Block MDPsCode1
Functions with average smoothness: structure, algorithms, and learning—0
Predictive Value Generalization Bounds—0
Consistent Structured Prediction with Max-Min Margin Markov NetworksCode0
Debiased Contrastive LearningCode1
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
Hausdorff Dimension, Heavy Tails, and Generalization in Neural NetworksCode0
PAC-Bayesian Generalization Bounds for MultiLayer Perceptrons—0
Learnability with Indirect Supervision Signals—0
Fine-Grained Analysis of Stability and Generalization for Stochastic Gradient Descent—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
Understanding Generalization in Recurrent Neural Networks—0
Improved Sample Complexities for Deep Neural Networks and Robust Classification via an All-Layer Margin—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
Improving Generalization by Controlling Label-Noise Information in Neural Network WeightsCode1
Learning Fair Scoring Functions: Bipartite Ranking under ROC-based Fairness Constraints—0
On generalization in moment-based domain adaptation—0
Generalization and Representational Limits of Graph Neural Networks—0
PACOH: Bayes-Optimal Meta-Learning with PAC-GuaranteesCode1
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
Generalization Bounds and Representation Learning for Estimation of Potential Outcomes and Causal Effects—0
Learning Overlapping Representations for the Estimation of Individualized Treatment Effects—0
Relative Flatness and GeneralizationCode0
PAC Confidence Sets for Deep Neural Networks via Calibrated PredictionCode1
Risk Bounds for Low Cost Bipartite Ranking—0
Transfer Learning via Minimizing the Performance Gap Between DomainsCode0
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