| One-shot learning and behavioral eligibility traces in sequential decision making | Nov 12, 2019 | Decision MakingLearning Theory | —Unverified | 0 |
| Machine Intelligence at the Edge with Learning Centric Power Allocation | Nov 12, 2019 | FairnessLearning Theory | —Unverified | 0 |
| Learning Internal Representations (PhD Thesis) | Nov 9, 2019 | Learning TheoryRepresentation Learning | —Unverified | 0 |
| On-Device Machine Learning: An Algorithms and Learning Theory Perspective | Nov 2, 2019 | BIG-bench Machine LearningFew-Shot Learning | —Unverified | 0 |
| A Formal Proof of PAC Learnability for Decision Stumps | Nov 1, 2019 | BIG-bench Machine LearningLearning Theory | —Unverified | 0 |
| Risk bounds for reservoir computing | Oct 30, 2019 | Learning Theory | —Unverified | 0 |
| Fast classification rates without standard margin assumptions | Oct 28, 2019 | ClassificationGeneral Classification | —Unverified | 0 |
| Robust Model Predictive Shielding for Safe Reinforcement Learning with Stochastic Dynamics | Oct 24, 2019 | Learning Theoryreinforcement-learning | —Unverified | 0 |
| Compressive Learning for Semi-Parametric Models | Oct 22, 2019 | ClusteringLearning Theory | —Unverified | 0 |
| Building Efficient CNNs Using Depthwise Convolutional Eigen-Filters (DeCEF) | Oct 21, 2019 | Learning Theory | —Unverified | 0 |
