| Learning invariant representations of time-homogeneous stochastic dynamical systems | Jul 19, 2023 | Learning Theory | CodeCode Available | 0 | 5 |
| Deep Learning with CNNs: A Compact Holistic Tutorial with Focus on Supervised Regression (Preprint) | Aug 22, 2024 | ArticlesDeep Learning | CodeCode Available | 0 | 5 |
| A Bayesian Perspective of Statistical Machine Learning for Big Data | Nov 9, 2018 | BIG-bench Machine LearningGaussian Processes | CodeCode Available | 0 | 5 |
| Deep Learning without Poor Local Minima | May 23, 2016 | Deep LearningLearning Theory | CodeCode Available | 0 | 5 |
| Generalization in Machine Learning via Analytical Learning Theory | Feb 21, 2018 | BIG-bench Machine LearningDeep Learning | CodeCode Available | 0 | 5 |
| Data-Error Scaling in Machine Learning on Natural Discrete Combinatorial Mutation-prone Sets: Case Studies on Peptides and Small Molecules | May 8, 2024 | Learning Theory | CodeCode Available | 0 | 5 |
| Deep Active Learning with Augmentation-based Consistency Estimation | Nov 5, 2020 | Active LearningData Augmentation | CodeCode Available | 0 | 5 |
| Continuous vs. Discrete Optimization of Deep Neural Networks | Jul 14, 2021 | Computational EfficiencyDeep Learning | CodeCode Available | 0 | 5 |
| Consistent Sparse Deep Learning: Theory and Computation | Feb 25, 2021 | Deep LearningGeneralization Bounds | CodeCode Available | 0 | 5 |
| Data-Driven Performance Guarantees for Classical and Learned Optimizers | Apr 22, 2024 | Learning TheoryMeta-Learning | CodeCode Available | 0 | 5 |