| Generalization Bounds via Conditional f-Information | Oct 30, 2024 | Generalization Bounds | CodeCode Available | 0 |
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| Shedding a PAC-Bayesian Light on Adaptive Sliced-Wasserstein Distances | Jun 7, 2022 | Generalization Bounds | CodeCode Available | 0 |
| Learning Gaussian Processes by Minimizing PAC-Bayesian Generalization Bounds | Oct 29, 2018 | Gaussian ProcessesGeneralization Bounds | CodeCode Available | 0 |
| Generalization Bounds with Data-dependent Fractal Dimensions | Feb 6, 2023 | Generalization BoundsLearning Theory | CodeCode Available | 0 |
| Simple Stochastic and Online Gradient DescentAlgorithms for Pairwise Learning | Nov 23, 2021 | Generalization BoundsMetric Learning | CodeCode Available | 0 |
| Towards a Learning Theory of Cause-Effect Inference | Feb 9, 2015 | Causal InferenceGeneralization Bounds | CodeCode Available | 0 |
| On generalization bounds for deep networks based on loss surface implicit regularization | Jan 12, 2022 | Generalization BoundsLearning Theory | CodeCode Available | 0 |
| Double-Weighting for Covariate Shift Adaptation | May 15, 2023 | Generalization Bounds | CodeCode Available | 0 |
| Towards Understanding the Word Sensitivity of Attention Layers: A Study via Random Features | Feb 5, 2024 | Generalization BoundsSensitivity | CodeCode Available | 0 |
