| Risk Bounds and Rademacher Complexity in Batch Reinforcement Learning | Mar 25, 2021 | Learning Theoryreinforcement-learning | —Unverified | 0 |
| On the Impact of Applying Machine Learning in the Decision-Making of Self-Adaptive Systems | Mar 18, 2021 | BIG-bench Machine LearningDecision Making | —Unverified | 0 |
| A deep learning theory for neural networks grounded in physics | Mar 18, 2021 | Deep LearningLearning Theory | —Unverified | 0 |
| Constrained Learning with Non-Convex Losses | Mar 8, 2021 | Adversarial RobustnessFairness | —Unverified | 0 |
| Learning Prediction Intervals for Regression: Generalization and Calibration | Feb 26, 2021 | Learning TheoryPrediction | —Unverified | 0 |
| Consistent Sparse Deep Learning: Theory and Computation | Feb 25, 2021 | Deep LearningGeneralization Bounds | CodeCode Available | 0 |
| Theoretical Understandings of Product Embedding for E-commerce Machine Learning | Feb 24, 2021 | BIG-bench Machine LearningDimensionality Reduction | —Unverified | 0 |
| Two Sides of Meta-Learning Evaluation: In vs. Out of Distribution | Feb 23, 2021 | Few-Shot LearningLearning Theory | CodeCode Available | 0 |
| KAM Theory Meets Statistical Learning Theory: Hamiltonian Neural Networks with Non-Zero Training Loss | Feb 22, 2021 | Learning Theory | —Unverified | 0 |
| On the robustness of randomized classifiers to adversarial examples | Feb 22, 2021 | Learning Theory | —Unverified | 0 |
