| Multi-class SVMs: From Tighter Data-Dependent Generalization Bounds to Novel Algorithms | Jun 14, 2015 | General ClassificationGeneralization Bounds | —Unverified | 0 |
| On the accuracy of self-normalized log-linear models | Jun 12, 2015 | Generalization Bounds | —Unverified | 0 |
| Random Maxout Features | Jun 11, 2015 | Data VisualizationDimensionality Reduction | —Unverified | 0 |
| When and why are log-linear models self-normalizing? | May 1, 2015 | Computational EfficiencyGeneralization Bounds | —Unverified | 0 |
| Deep Learning and the Information Bottleneck Principle | Mar 9, 2015 | Deep LearningGeneralization Bounds | CodeCode Available | 1 |
| Towards a Learning Theory of Cause-Effect Inference | Feb 9, 2015 | Causal InferenceGeneralization Bounds | CodeCode Available | 0 |
| (Almost) No Label No Cry | Dec 1, 2014 | Generalization BoundsPrivacy Preserving | —Unverified | 0 |
| Task-group Relatedness and Generalization Bounds for Regularized Multi-task Learning | Aug 28, 2014 | Generalization BoundsMulti-Task Learning | —Unverified | 0 |
| Scalable Matrix-valued Kernel Learning for High-dimensional Nonlinear Multivariate Regression and Granger Causality | Aug 9, 2014 | Causal InferenceGeneralization Bounds | —Unverified | 0 |
| Generalization Bounds for Learning with Linear, Polygonal, Quadratic and Conic Side Knowledge | May 30, 2014 | Generalization Bounds | CodeCode Available | 0 |
