| Sample Compression Unleashed: New Generalization Bounds for Real Valued Losses | Sep 26, 2024 | Generalization Boundsvalid | CodeCode Available | 0 |
| Globally Convergent Newton Methods for Ill-conditioned Generalized Self-concordant Losses | Jul 3, 2019 | Generalization Boundsregression | CodeCode Available | 0 |
| Algorithm-Dependent Bounds for Representation Learning of Multi-Source Domain Adaptation | Apr 4, 2023 | Domain AdaptationGeneralization Bounds | CodeCode Available | 0 |
| GraphMix: Improved Training of GNNs for Semi-Supervised Learning | Sep 25, 2019 | Generalization BoundsGraph Attention | CodeCode Available | 0 |
| A Surprising Linear Relationship Predicts Test Performance in Deep Networks | Jul 25, 2018 | General ClassificationGeneralization Bounds | CodeCode Available | 0 |
| Group Invariance, Stability to Deformations, and Complexity of Deep Convolutional Representations | Jun 9, 2017 | Generalization Bounds | CodeCode Available | 0 |
| Linear predictor on linearly-generated data with missing values: non consistency and solutions | Feb 3, 2020 | Generalization BoundsMissing Values | CodeCode Available | 0 |
| Sorting out Lipschitz function approximation | Nov 13, 2018 | Adversarial RobustnessGeneralization Bounds | CodeCode Available | 0 |
| Hausdorff Dimension, Heavy Tails, and Generalization in Neural Networks | Jun 16, 2020 | Generalization Bounds | CodeCode Available | 0 |
| Stable Sample Compression Schemes: New Applications and an Optimal SVM Margin Bound | Nov 9, 2020 | Generalization BoundsOpen-Ended Question Answering | CodeCode Available | 0 |
| Heavy Tails in SGD and Compressibility of Overparametrized Neural Networks | Jun 7, 2021 | Generalization BoundsNeural Network Compression | CodeCode Available | 0 |
