| Generalization Bounds For Meta-Learning: An Information-Theoretic Analysis | Sep 29, 2021 | Few-Shot LearningGeneralization Bounds | CodeCode Available | 0 | 5 |
| Generalization bounds for graph convolutional neural networks via Rademacher complexity | Feb 20, 2021 | Generalization Bounds | CodeCode Available | 0 | 5 |
| Generalization Bounds for Sparse Random Feature Expansions | Mar 4, 2021 | BIG-bench Machine LearningCompressive Sensing | CodeCode Available | 0 | 5 |
| Adapting Neural Architectures Between Domains | Dec 1, 2020 | Domain AdaptationGeneralization Bounds | CodeCode Available | 0 | 5 |
| Generalization Bound and New Algorithm for Clean-Label Backdoor Attack | Jun 2, 2024 | Backdoor AttackData Poisoning | CodeCode Available | 0 | 5 |
| Generalization Bounds for Heavy-Tailed SDEs through the Fractional Fokker-Planck Equation | Feb 12, 2024 | Generalization BoundsStochastic Optimization | CodeCode Available | 0 | 5 |
| Generalization Bounds for Causal Regression: Insights, Guarantees and Sensitivity Analysis | May 15, 2024 | Generalization Boundsregression | CodeCode Available | 0 | 5 |
| Improving Generalization Bounds for VC Classes Using the Hypergeometric Tail Inversion | Oct 29, 2021 | Generalization Bounds | CodeCode Available | 0 | 5 |
| Generalization Bounds for Learning with Linear, Polygonal, Quadratic and Conic Side Knowledge | May 30, 2014 | Generalization Bounds | CodeCode Available | 0 | 5 |
| Generalization Bounds via Conditional f-Information | Oct 30, 2024 | Generalization Bounds | CodeCode Available | 0 | 5 |
| Chaotic Regularization and Heavy-Tailed Limits for Deterministic Gradient Descent | May 23, 2022 | Generalization Bounds | CodeCode Available | 0 | 5 |
| Achieving Distributive Justice in Federated Learning via Uncertainty Quantification | Apr 22, 2025 | EthicsFairness | CodeCode Available | 0 | 5 |
| Generalization Performance of Hypergraph Neural Networks | Jan 22, 2025 | Generalization Bounds | CodeCode Available | 0 | 5 |
| Globally Convergent Newton Methods for Ill-conditioned Generalized Self-concordant Losses | Jul 3, 2019 | Generalization Boundsregression | CodeCode Available | 0 | 5 |
| GraphMix: Improved Training of GNNs for Semi-Supervised Learning | Sep 25, 2019 | Generalization BoundsGraph Attention | CodeCode Available | 0 | 5 |
| Heavy Tails in SGD and Compressibility of Overparametrized Neural Networks | Jun 7, 2021 | Generalization BoundsNeural Network Compression | CodeCode Available | 0 | 5 |
| Estimating the Success of Unsupervised Image to Image Translation | Dec 21, 2017 | Generalization BoundsImage-to-Image Translation | CodeCode Available | 0 | 5 |
| Comparing Comparators in Generalization Bounds | Oct 16, 2023 | Generalization Bounds | CodeCode Available | 0 | 5 |
| A PAC-Bayes Analysis of Adversarial Robustness | Feb 19, 2021 | Adversarial RobustnessGeneralization Bounds | CodeCode Available | 0 | 5 |
| Exploring the Algorithm-Dependent Generalization of AUPRC Optimization with List Stability | Sep 27, 2022 | Generalization BoundsImage Retrieval | CodeCode Available | 0 | 5 |
| Escaping the Curse of Dimensionality in Similarity Learning: Efficient Frank-Wolfe Algorithm and Generalization Bounds | Jul 20, 2018 | Generalization BoundsMetric Learning | CodeCode Available | 0 | 5 |
| A General Framework for the Practical Disintegration of PAC-Bayesian Bounds | Feb 17, 2021 | Generalization Bounds | CodeCode Available | 0 | 5 |
| Information-Theoretic Characterization of the Generalization Error for Iterative Semi-Supervised Learning | Oct 3, 2021 | Generalization Bounds | CodeCode Available | 0 | 5 |
| Computing Nonvacuous Generalization Bounds for Deep (Stochastic) Neural Networks with Many More Parameters than Training Data | Mar 31, 2017 | Generalization Bounds | CodeCode Available | 0 | 5 |
| An Algorithmic Framework for Fairness Elicitation | May 25, 2019 | FairnessGeneralization Bounds | CodeCode Available | 0 | 5 |
