| Causal Regularization | Jun 28, 2019 | Learning Theoryregression | CodeCode Available | 0 |
| Symphony of high-dimensional brain | Jun 27, 2019 | BIG-bench Machine LearningLearning Theory | —Unverified | 0 |
| Learning from weakly dependent data under Dobrushin's condition | Jun 21, 2019 | Generalization BoundsLearning Theory | —Unverified | 0 |
| Quadratic Suffices for Over-parametrization via Matrix Chernoff Bound | Jun 9, 2019 | Deep LearningLearning Theory | —Unverified | 0 |
| Graph-based Discriminators: Sample Complexity and Expressiveness | Jun 1, 2019 | Learning Theory | —Unverified | 0 |
| On the Generalization Gap in Reparameterizable Reinforcement Learning | May 29, 2019 | Learning Theoryreinforcement-learning | —Unverified | 0 |
| Understanding the Behaviour of the Empirical Cross-Entropy Beyond the Training Distribution | May 28, 2019 | Learning Theory | —Unverified | 0 |
| Empirical Risk Minimization in the Interpolating Regime with Application to Neural Network Learning | May 25, 2019 | Learning Theory | —Unverified | 0 |
| Disagreement-based Active Learning in Online Settings | Apr 19, 2019 | Active LearningGeneral Classification | —Unverified | 0 |
| The Landscape of the Planted Clique Problem: Dense subgraphs and the Overlap Gap Property | Apr 15, 2019 | Learning Theory | —Unverified | 0 |
| Approximation in L^p(μ) with deep ReLU neural networks | Apr 9, 2019 | Learning Theory | —Unverified | 0 |
| Deep Fictitious Play for Stochastic Differential Games | Mar 22, 2019 | Deep LearningGPU | —Unverified | 0 |
| Recovering the Lowest Layer of Deep Networks with High Threshold Activations | Mar 21, 2019 | BIG-bench Machine LearningLearning Theory | —Unverified | 0 |
| A Brain-inspired Algorithm for Training Highly Sparse Neural Networks | Mar 17, 2019 | Learning Theory | CodeCode Available | 0 |
| A nonasymptotic law of iterated logarithm for general M-estimators | Mar 15, 2019 | BIG-bench Machine LearningLearning Theory | —Unverified | 0 |
| Is Deeper Better only when Shallow is Good? | Mar 8, 2019 | Learning TheoryOpen-Ended Question Answering | CodeCode Available | 0 |
| Improving Generalization of Deep Networks for Inverse Reconstruction of Image Sequences | Mar 5, 2019 | DecoderImage Reconstruction | CodeCode Available | 0 |
| Fast Approximation of Frequent k-mers and Applications to Metagenomics | Feb 26, 2019 | Learning Theory | —Unverified | 0 |
| Integrated analysis of the urban water-electricity demand nexus in the Midwestern United States | Feb 26, 2019 | Learning Theory | —Unverified | 0 |
| Analyzing Data Selection Techniques with Tools from the Theory of Information Losses | Feb 25, 2019 | Active LearningExperimental Design | —Unverified | 0 |
| Generalisation in fully-connected neural networks for time series forecasting | Feb 14, 2019 | Learning TheoryTime Series | —Unverified | 0 |
| Scaling Limits of Wide Neural Networks with Weight Sharing: Gaussian Process Behavior, Gradient Independence, and Neural Tangent Kernel Derivation | Feb 13, 2019 | Gaussian ProcessesLearning Theory | —Unverified | 0 |
| Learning Theory and Support Vector Machines - a primer | Feb 12, 2019 | Decision MakingLearning Theory | —Unverified | 0 |
| Fast Hyperparameter Tuning using Bayesian Optimization with Directional Derivatives | Feb 6, 2019 | Bayesian OptimizationLearning Theory | —Unverified | 0 |
| On Generalization Error Bounds of Noisy Gradient Methods for Non-Convex Learning | Feb 2, 2019 | Generalization BoundsLearning Theory | —Unverified | 0 |
