| Active Importance Sampling for Variational Objectives Dominated by Rare Events: Consequences for Optimization and Generalization | Aug 11, 2020 | BIG-bench Machine LearningLearning Theory | CodeCode Available | 1 |
| Analyzing Upper Bounds on Mean Absolute Errors for Deep Neural Network Based Vector-to-Vector Regression | Aug 4, 2020 | Learning Theoryregression | —Unverified | 0 |
| Verification of ML Systems via Reparameterization | Jul 14, 2020 | BIG-bench Machine LearningFairness | —Unverified | 0 |
| Reformulation of the No-Free-Lunch Theorem for Entangled Data Sets | Jul 9, 2020 | BIG-bench Machine LearningLearning Theory | —Unverified | 0 |
| A Revision of Neural Tangent Kernel-based Approaches for Neural Networks | Jul 2, 2020 | Few-Shot LearningLearning Theory | —Unverified | 0 |
| Associative Memory in Iterated Overparameterized Sigmoid Autoencoders | Jun 30, 2020 | Learning Theoryregression | —Unverified | 0 |
| Nearest Neighbour Based Estimates of Gradients: Sharp Nonasymptotic Bounds and Applications | Jun 26, 2020 | Dimensionality ReductionDisentanglement | —Unverified | 0 |
| Ensuring Learning Guarantees on Concept Drift Detection with Statistical Learning Theory | Jun 24, 2020 | Drift DetectionLearning Theory | —Unverified | 0 |
| Good Classifiers are Abundant in the Interpolating Regime | Jun 22, 2020 | Learning Theory | —Unverified | 0 |
| An Optimal Elimination Algorithm for Learning a Best Arm | Jun 20, 2020 | Learning TheoryPAC learning | —Unverified | 0 |
