| Minimax Kernel Machine Learning for a Class of Doubly Robust Functionals with Application to Proximal Causal Inference | Apr 7, 2021 | BIG-bench Machine LearningCausal Inference | CodeCode Available | 0 |
| Learning Description Logic Ontologies. Five Approaches. Where Do They Stand? | Apr 2, 2021 | BIG-bench Machine LearningInductive logic programming | —Unverified | 0 |
| Why is AI hard and Physics simple? | Mar 31, 2021 | BIG-bench Machine LearningLearning Theory | —Unverified | 0 |
| Understanding the role of importance weighting for deep learning | Mar 28, 2021 | Deep LearningLearning Theory | —Unverified | 0 |
| Leaky Nets: Recovering Embedded Neural Network Models and Inputs through Simple Power and Timing Side-Channels -- Attacks and Defenses | Mar 26, 2021 | Learning Theory | —Unverified | 0 |
| Risk Bounds and Rademacher Complexity in Batch Reinforcement Learning | Mar 25, 2021 | Learning Theoryreinforcement-learning | —Unverified | 0 |
| On the Complexity of Learning Description Logic Ontologies | Mar 25, 2021 | Learning Theory | —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 |
