| Solving PDEs on Unknown Manifolds with Machine Learning | Jun 12, 2021 | BIG-bench Machine LearningLearning Theory | CodeCode Available | 0 |
| SPADE: Sparsity-Guided Debugging for Deep Neural Networks | Oct 6, 2023 | Learning Theory | CodeCode Available | 0 |
| Efficient Training for Positive Unlabeled Learning | Aug 24, 2016 | Learning Theory | CodeCode Available | 0 |
| Consistent Sparse Deep Learning: Theory and Computation | Feb 25, 2021 | Deep LearningGeneralization Bounds | CodeCode Available | 0 |
| Robust Optimization using Machine Learning for Uncertainty Sets | Jul 4, 2014 | BIG-bench Machine LearningDecision Making | CodeCode Available | 0 |
| Homophily modulates double descent generalization in graph convolution networks | Dec 26, 2022 | Graph LearningLearning Theory | CodeCode Available | 0 |
| End-to-end guarantees for indirect data-driven control of bilinear systems with finite stochastic data | Sep 26, 2024 | Learning Theory | CodeCode Available | 0 |
| Modeling Non-Cooperative Dialogue: Theoretical and Empirical Insights | Jul 15, 2022 | Learning Theory | CodeCode Available | 0 |
| Deep Learning in Random Neural Fields: Numerical Experiments via Neural Tangent Kernel | Feb 10, 2022 | Learning Theory | CodeCode Available | 0 |
| Stealing Machine Learning Models via Prediction APIs | Sep 9, 2016 | BIG-bench Machine LearningLearning Theory | CodeCode Available | 0 |